Datasets:

RJuro

/

neuro_patents

like 2

1997-07-22

Y

A singing sound-synthesizing apparatus sequentially synthesizes vocal sounds based on singing data including lyric data of a lyric formed of a plurality of phonemes and sounding data designating a sounding time period over which the lyric data is sounded. A designating device designates a predetermined voiced phoneme from the plurality of phonemes of the lyric data. A sounding control device carries out sounding control such that sounding of the predetermined voiced phoneme designated by the designating device is started within the sounding time period designated for the plurality of phonemes by the sounding data and continued until the sounding time period designated for the plurality of phonemes elapses. In another form, ones of phoneme parameter sets and ones of coarticulation parameter sets corresponding to signing data are read from a phoneme data storing the phoneme parameter sets and the coarticulation parameter sets. A control signal is selectively supplied to at least one of a formant-synthesizing tone generator device that synthesizes formants of phonemes to be sounded to generate vocal sounds and a PCM tone generator device that generates vocal sounds by pulse code modulation, the PCM tone generator device having a waveform memory storing waveforms of unvoiced consonants, based on the corresponding ones of the phoneme parameter sets and the corresponding ones of the coarticulation parameter sets read from the phoneme data base to cause the at least one of the formant-synthesizing tone generator device and the PCM tone generator device to generate a vocal sound.

en

Singing sound-synthesizing apparatus and method

5238196_JP

8993653_JP,8993654_JP

G10H 7/002,G10H2250/455,G10H2250/481,G10L 13/033

2016-07-18

N

The invention relates to a learning effort calculation method and realization apparatus. The method is characterized by comprising the steps of obtaining learning state data; performing statistics on the learning state data and calculating a feature value which reflects the size of the state data; calculating a duration value which reflects the length of the state data; and reflecting learning efforts by a product of the feature value and the duration value. According to the method and the apparatus, a calculation method for ''work'' in physics is introduced; the efforts in the state are described through the product of the state data and the duration time in a learning process; the meaning is definite; and a learning effort state can be well reflected. For example, the higher a product of a brain usage concentration degree and a brain usage duration time is, the higher the learning efforts are and the harder the learning is; the higher a product of a brain relaxation degree and a brain relaxation duration time is, the lower the learning efforts are and the not harder the learning is, so that the learning efforts can serve as learning negative work; during reading and writing, for the same time, the higher the eye use work is, the better an eye use distance is and the better a sitting posture is, so that the vision can be protected; and the lower the eye use work is, the shorter the eye use distance is, the worse the sitting posture is and the easier the occurrence of myopia is. In combination with a timetable or a curriculum schedule, colorful contents can be reflected.

en

Learning effort calculation method and realization apparatus

60311805_

60311805_

G06F 40/174,G06Q 50/205

2008-12-16

N

Disclosed herein are chromenone compounds of formula (I), wherein the substituents are as defined within the specification; processes for their preparation, compositions comprising said compounds and uses thereof. Said compounds are useful the their Transient Receptor Potential Vanilloid 3 (TRPV3) activity and as such are useful in the treatement of pain, acute pain, chronic pain, nociceptive pain, neuropathic pain, post-operative pain, dental pain, cancer pain, cardiac pain arising from an ischemic myocardium, pain due to migraine, arthralgia, neuropathies, neuralgia, trigeminal neuralgia nerve injury, diabetic neuropathy, neurodegeneration, retinopathy, neurotic skin disorder, stroke, urinary bladder hypersensitiveness, urinary incontinence, vulvodynia, gastrointestinal disorders such as irritable bowel syndrome, gastro-esophageal reflux disease, enteritis, ileitis, stomach-duodenal ulcer, inflammatory bowel disease, Crohn's disease, celiac disease, an inflammatory disease such as pancreatitis, a respiratory disorder such as allergic and non-allergic rhinitis, asthma or chronic obstructive pulmonary disease, irritation of skin, eye or mucous membrane, dermatitis, pruritic conditions such as uremic pruritus, fervescence, muscle spasms, emesis, dyskinesias, depression, Huntington's disease, memory deficits, restricted brain function, amyotrophic lateral sclerosis (ALS), dementia, arthritis, osteoarthritis, diabetes, obesity, urticaria, actinic keratosis, keratocanthoma, alopecia, Meniere's disease, tinnitus, hyperacusis, anxiety disorders and benign prostate hyperplasia.

en

CHROMANE DERIVATIVES AS TRPV3 MODULATORS

42515490_

46748938_,46748935_,46748937_,46748936_,46649773_,46748934_,46649774_,15025625_

A61P 1/00,A61P 1/04,A61P 1/08,A61P 1/18,A61P 3/04,A61P 3/10,A61P 7/12,A61P 9/10,A61P 11/00,A61P 11/02,A61P 11/06,A61P 13/02,A61P 13/08,A61P 13/10,A61P 17/00,A61P 17/04,A61P 17/14,A61P 17/16,A61P 19/02,A61P 21/00,A61P 21/02,A61P 25/00,A61P 25/04,A61P 25/06,A61P 25/14,A61P 25/22,A61P 25/24,A61P 25/28,A61P 27/02,A61P 29/00,A61P 29/02,A61P 35/00,A61P 37/08,A61P 43/00,C07D 311/96,C07D 335/06,C07D 405/12,C07D 407/12,C07D 413/12

1999-03-30

N

The present invention provides a method and apparatus for implementing a training regimen which alleviates exaggerated sensory, perceptual, cognitive and/or emotional response problems. For example, in the aural domain, some autistic individuals are hypersensitive to one of the senses, e.g., sound. As discussed above, sounds at the specific frequency can cause discomfort to these autistic individuals even when presented at an intensity level which normally is not perceived as being too loud by most individuals. Similarly, tinnitus afflicted individuals also suffer from disconcerting perceived ringing sensations in their ears. The present invention hypothesizes that a catastrophic cascade of responses within a 'supergroup' of auditory neurons is triggered by a hypersensitive response to a particular frequency or range of frequencies. The self sustaining cascade is very much like an epileptic seizure in which the sudden involontary response of a relatively small group of neurons trigger responses in a supergroup of neurons located in the motor control region of the brain. In accordance with the present invention, the abnormally sensitive response problem associated with supergroups can be substantially alleviated via a remedial training regimen which emphasizes the redevelopment of the afflicted individual's ability to make fine sensory distinctions and/or the improvement of the individual's differential sensory acuteness. Providing the regimen to the individual consistently over a period of time increases the likelihood of normal or near normal sensory ability returning.

en

A COMPUTERIZED METHOD AND DEVICE FOR REMEDIATING EXAGGERATED SENSORY RESPONSE IN AN INDIVIDUAL WITH AN IMPAIRED SENSORY MODALITY

37819412_US,10748215_US

37819412_US

A61M 21/00,A61M2021/0027,A61M2021/005,G16H 10/20,G16H 20/70,G16H 40/63

2001-04-20

N

A negative-working photosensitive resin composition is disclosed, comprising (A) a film-forming polymer, (B) an unsaturated compound having a radical polymerizable ethylenic double bond, (C) a photopolymerization initiator, and (D) a thermal polymerization inhibitor, wherein the resin composition further contains (E) at least one member selected from compounds represented by following formula (I):<paragraph lvl='0'><in-line-formula>R1-X (I)</in-line-formula>wherein -X represents -OR2, -COOH, -SO3H, -CONHR2, -COR2, -SO2NHR2, -HNCONHR2, or -HNCOOR2; R1 and R2, which may be the same or different, each represents a hydrogen atom, a substituted or unsubstituted, saturated or unsaturated hydrocarbon group, provided that it does not contain a radical polymerizable ethylenic double bond, a substituted or unsubstituted alicyclic hydrocarbon group, a substituted or unsubstituted aromatic hydrocarbon group, or a heterocyclic group; they may have an ether bond in the chain, provided that when -X is -OH, then R1 represents a group other than a hydrogen atom and an aromatic hydrocarbon group, in a range of 0.001 - 0.3 wt % based on the weight of the photosensitive resin composition. A photosensitive resin plate using the photosensitive resin composition is also disclosed. By this invention, a negative-working photosensitive resin composition particularly excellent in the reproducibility of the highlight areas and the independent fine lines and having the deep non-printing depth and good resolving properties, and a photosensitive resin plate using the resin composition are provided.

en

Negative-working photosensitive resin composition and photosensitive resin plate using the same

30571469_,31128932_

17982757_JP,20083241_JP

G03F 7/031,Y10T 428/24802

1999-12-09

N

To permit a person to take a power-striding most effective to be healthy the quantity of exercising is managed by using, in combination, bioelectrical impedance measuring means 110; personal data inputting means 120; body fat rate calculating means 130 for determining the body fat rate on the basis of the personal data and the value of bioelectrical impedance; target body fat rate setting means 140; target calorie consumption calculator means 150 for calculating the calorie consumption required to attain the target body fat rate; management period setting means 160 for setting a length of period required to attain the target body fat rate; healthful calorie consumption calculator means 170 for calculating the calorie consumption per day within the management period; walking calorie per minute calculating means 180 for calculating caloric quantity consumed by walking per minute in consideration of the individual basal metastasis; healthful exercise quantity calculating means 190 for calculating the healthful exercise quantity per day required to consume the healthful calorie per day; exercise quantity measuring means 200; calorie consumption per day calculating means 210 for determining the calorie consumption on the basis of the so measured exercise quantity; and healthful exercise quantity correcting means 220 for comparing the calorie consumption per day of the previous day with the target value of the present day and for converting any difference therebetween in terms of exercise quantity, thereby renewing the healthful exercise quantity of the present day. <IMAGE>

en

HEALTH AMOUNT-OF-EXERCISE MANAGING DEVICE

278027_JP

4062580_JP,4062581_JP

A61B 5/053,A61B 5/221,A61B 5/4872,A63B 24/0075,A63B 71/06,A63B2230/70,G01C 22/006,G16H 20/30

2020-12-02

N

The present invention relates to a system and a method for determining a dementia state based on a digital phenotype script. The system for determining a dementia state based on a digital phenotype script according to the present invention comprises: a smart device data collection unit collecting data for judging the user's dementia state using a sensor of a smart device; a digital phenotype script extraction unit extracting a digital phenotype script based on the collected data, and calculating a cognitive ability estimate value to determine whether cognitive ability has changed based on the extracted digital phenotype script; a self-examination data collection unit collecting self-examination data including a self-examination of the user's emotions and cognitive ability, a cognitive task for measuring cognitive ability, and an activity task for measuring activity ability in order to observe a change in the user's cognitive ability; a cognitive ability determination unit determining whether cognitive ability is deteriorated using the calculated cognitive ability estimate value and the collected self-examination data to determine whether cognitive ability has deteriorated; and a monitoring visualization unit visualizing and displaying cognitive ability-related indicators according to the judgment result for each period to the user and notifying the change in cognitive ability. Accordingly the present invention utilizes a technology for early detection of data-based dementia symptoms to solve the problems of low accuracy and high cost of existing survey-based methods.

en

Digital Phenotype Script Based Cognitive Impairment Detection Systems and Methods

68128238_KR

70928437_,72768919_,79940933_

G16H 10/20,G16H 10/60,G16H 20/70,G16H 50/30

2001-03-19

Y

A system and method for real-time controlling of signal processors, synthesizers, musical instruments, MIDI processors, lighting, video, and special effects in performance, recording, and composition environments using images derived from tactile sensors, pressure sensor arrays, optical transducer arrays, chemical sensor arrays, body sensor arrays, and numerical computation. The invention provides for pressure sensor arrays and body sensor arrays as tactile control interfaces, for video cameras and light sensor arrays as optical transducers, for chemical sensor arrays, and for other numerical image generation from computer processing or numeric simulation. Tactile transducers may be put on instrument keys of conventional instruments, be attached to existing instruments, or be used to create entirely new instrument or controller configurations. Chemical sensor arrays and for other numerical image generation from computer processing or numeric simulation can be used to monitor or simulate natural physical phenomenon such as self-organizing process behavior or environmental conditions. Arrays of scalar or vector values are processed to extract pattern boundaries, geometric properties of pixels within the pattern boundaries (geometric center, weighted moments, etc.), and higher-level derived information (senses of rotation, segmented regions, pattern classification, syntax, grammars, sequences, etc.) which are used to create control signals for external audio, visual, and control equipment or algorithms. The invention also provides for MIDI and non-MIDI control signals.

en

Tactile, visual, and array controllers for real-time control of music signal processing, mixing, video, and lighting

10062220_US

10062221_US

G06F 3/005,G06F 3/017,G06F 3/041,G06F 3/0412,G06F 3/04847,G06F 3/0488,G06F 3/04883,G10H 1/00,G10H 1/0058,G10H 1/0066,G10H 1/348,G10H 1/46,G10H 3/18,G10H 3/26,G10H2220/521,G10H2220/525,G10H2230/095,G10H2230/101,G10H2230/115,G10H2230/145,G10H2230/271,Y10S 84/10

1980-07-30

Y

F12310/A3403 DIGITAL TELECOMMUNICATIONS E. Culley SWITCHING NETWORK WITH INBUILT FAULT IDENTIFICATION In modern digital telecommunications switching networks the switch block may be a duplicated plane time-space-time arrangement in which each time switch stage and each space switch stage is controlled by control stores. Each control store is cross-office slot ordered and is arranged to be loaded by the central control with the identity of the connection required for the relevant cross-office slot. At each busy cross-office slot in a time switch control store a 12 bit address word is retrieved. Ten bits are used to define the connection while the two remaining bits act as a busy bit and a parity bit. Each space switch control store contains in cross-office slot order eight bit address words (6 bits address plus busy and parity bits). The busy bits are used when interrogating the trunking for free paths and they are also used to control the application of idle codes to free slots in the speech path. The parity bits within the control stores are used to initiate pattern insertion on the speech highways. The detection of 'bad parity' causes characteristic patterns to replace an erroneously accessed samples at the time or space switch and the replaced sample will be intercepted at the transmit digital line termination unit, which will be biased to choose the sample-from the other plane of the switch block. The inserted pattern also identifies the trunking element to which the erroneous address has been applied so that the DLT is able to indicate the faulty control store.

en

DIGITAL TELECOMMUNICATIONS SWITCHING NETWORK WITH IN-BUILT FAULT IDENTIFICATION

16050244_

16050250_

H04Q 11/0407

2015-05-07

N

The invention is aimed at reinforcing the humanoid nature of a robot and its interaction capabilities, by increasing the possibilities for controlling the movements of a hand while retaining a high degree of underactuation. The invention meets the aim by providing a hand intended for a humanoid robot, the hand comprising a palm and fingers, each of the fingers being able to be displaced in relation to the palm between a position of rest maintained by spring effect and a compressed position obtained by driving a link part between said finger and the palm, the driving of the link part countering the spring effect; and a motorized shaft, linked to the link part of each of the fingers, and configured so as to displace from the position of rest to the compressed position at least one first finger of the fingers by rotation of the motorized shaft in a first direction of rotation and at least one second finger of the fingers by rotation of the motorized shaft in a second direction of rotation, the second direction of rotation being opposite to the first direction of rotation, wherein two of the fingers are a thumb and an index finger, the thumb and the index finger are located at opposite sides in the palm similar to respective locations of a thumb and an index finger of a human hand, the index finger or the thumb being maintained in the position of rest upon a rotation of the motorized shaft in the first direction, and wherein the second direction of rotation displaces all the fingers of the hand to the compressed position so as to represent, with the palm, a closed hand.

en

Actuation of a hand to be provided on a humanoid robot

53953284_

54879657_,54899416_,56124085_

B25J 15/00,B25J 15/0009,B25J 15/0233,B25J 15/08,B25J 15/086,B25J 15/10,B25J 15/103

2009-08-05

N

The rehabilitation training apparatus for legs according to the invention is used for training a patient for walking rehabilitation, and comprises a monitoring system consisting of: a lower frame that supports the entire apparatus, an upper frame that is installed separately above the lower frame; a rotation frame that is furnished with a mattress used for a patient to lie down and a plurality of belts used to fix the patient in place that are installed on the upper frame to allow rotation; an elastic cylinder that connects the upper frame with the rotation frame and rotates the rotation frame; a display installation member that is installed on the center of the tip part of the lower frame; two pedals that have their front parts joined with the bottom of a link that is installed on the side of the display installation body to allow rotation, while their rear parts become joined with the end part of a crankshaft connecting with a motor to enable reciprocating motions repeatedly; a display that is installed at the top of the display installation member and outputs a screen; and a controller that controls the motor, shrinkable cylinder, and display; this has the advantages that a patient can train on walking by himself without active assistance from a rehabilitation therapist, that the patient is made to feel that he stands and walk for himself, and that the patient is awarded with the visual effect of actually walking on the street so that it is easy to train for walking, and physical and mental rehabilitation therapies for a patient can be performed more efficiently.

en

REHABILITATION TRAINING APPARATUS FOR LEGS

33351312_KR

33351312_KR

A61H 1/00,A61H 1/02,A61H 1/0237,A61H 1/0262,A61H 3/00,A61H2201/0176,A61H2203/0406,A61H2230/06,A61H2230/30

1997-11-12

Y

A method and apparatus for measuring the 'perceptual distance' between an approximate, reconstructed representation of a sensory signal (such as an audio or video signal) and the original sensory signal is provided. The perceptual distance in this context is a direct quantitative measure of the likelihood that a human observer can distinguish the original audio or video signal from the reconstructed approximation to the original audio or video signal. The method described herein applies to noisy compression techniques; the method provides the ability to predict the likelihood that the reconstructed noisy representation of the original signal will be distinguishable by a human observer from the original input representation. The method can be used to allocate bits in audio and video compression algorithms such that the signal reconstructed from compressed representation is perceptually similar to the original input signal when judged by a human observer. The method is based on a theory of the neurophysiological limitations of human sensory perception. Specifically, a 'neural encoding model' (NEM) summarizes the manner in which sensory signals are represented in the human brain. The NEM is analyzed in the context of detection theory which provides a mathematical framework for statistically quantifying the detectability of differences in the neural representation arising from differences in sensory input. This NEM approach has been validated by demonstrating its ability to predict a variety of published psychoacoustic data, including masking and many other phenomenon.

en

Data compression method and apparatus

10672810_US

7871624_US

G06T 9/002,H04N 19/124,H04N 19/14,H04N 19/152,H04N 19/154,H04N 19/60,H04N 19/80

2011-05-27

Y

A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature. The method is preferably implemented by a programmed computer and includes the steps of constructing a time series networks of words, passages, documents, and citations and/or co-citations within received information into a synthesized network, decomposing the networks into clusters of fields or topics, performing part-of-speech tagging of text within the received information to provide tagged text, constructing semantic structures of concepts and/or assertions extracted from the source text, generating citation-based and content-based summaries of the clusters of fields or topics and the semantic structures including measuring the saliency, novelty, significance, and transformative features of individual entities in the clusters of fields or topics and semantic structures, and generating structured narratives of the clusters of fields or topics and the summaries of the generated semantic structures, including labeling and summarizing features of the clusters of fields or topics and delinearizing the resulting clusters into templates that provide summarizations of the structure and trends of the information in the clusters at multiple levels of abstraction. Narratives of the citation-based and content-based summaries are merged into a systematic review having a predetermined arrangement.

en

System and method for automatically generating systematic reviews of a scientific field

5365718_US,11940534_US

11940534_US

G06F 16/285,G06F 16/367

1987-09-25

Y

A system for automatically determining the outline of a selected anatomical feature or region (e.g., in a slice of magnetic resonance data) and then making a quantitative determination of a morphometric parameter (such as area or volume) associated with the feature. A volumetric measurement of the feature is made by determining for each slice the areas within the outline for the feature and summing the areas for all the slices; the outlines are based on intensity contours, where the intensity of the contour is intermediate that within and outside of the feature; the intermediate intensity is chosen objectively based on a histogram of intensity levels; interpolation is used to assign contour locations in areas where the intensity of the contour is not present exactly; the accuracy of the outline is improved using an edge-optimization procedure in which the outline is shifted transversely to the location at which an estimate of the derivative (e.g., the Sobel operator) is a maximum; an alternative technique for choosing the initial outline is to examine the drop or rise in intensity along a radical direction from a starting point within the region of interest and assign the contour to the location at which the difference in intensity reaches a predetermined value; the optimized outline for the first slice of data is saved and used as the initial outline for the adjoining slice, and the procedure of adjusting the outline transversely to the location at which a derivative estimate is a maximum is repeated, and so on, until outlines have been generated for all slices.

en

Morphometric analysis of anatomical tomographic data

5230054_US

6136332_US,6136330_US,6136331_US

A61B 5/055,G06T 7/12,G06T 7/62,G06T2207/10088,G06T2207/30016

2015-02-06

Y

FIELD: pharmaceutics.SUBSTANCE: group of inventions relates to the field of pharmaceutics, namely to a combination and a pharmaceutical preparation for the treatment of a neuropsychiatric disorder and late dyskinesia; a combination and a pharmaceutical preparation for the treatment of schizophrenia or a schizoaffective disorder in a subject suffering from late dyskinesia; a combination and a pharmaceutical preparation for the treatment of late dyskinesia related to the injection of an antipsychotic drug; a pharmaceutical preparation for the treatment of late dyskinesia in a subject, which is injected with therapeutically effective amount of the antipsychotic drug; a pharmaceutical preparation for the treatment of late dyskinesia related to the injection of therapeutically effective amount of the antipsychotic drug. All combinations and pharmaceutical preparations contain therapeutically effective amount of the antipsychotic drug and ester of (S)-2-amino-3-methyl-butyric acid and (2R,3R,11bR)-3-isobutyl-9,10-dimethoxy-1,3,4,6,7,11b-hexahydro-2H-pyrido[2,1-a]isoquinoline-2-yl or its physiologically acceptable salt in the amount of 10-100 mg per a day.EFFECT: group of inventions provides for an improvement of therapeutical efficiency of the antipsychotic drug when treating a neuropsychiatric disorder due to synergy occurrence between the antipsychotic drug and ester of (S)-2-amino-3-methyl-butyric acid and (2R,3R,11bR)-3-isobutyl-9,10-dimethoxy-1,3,4,6,7,11b-hexahydro-2H-pyrido[2,1-a]isoquinoline-2-yl or its physiologically acceptable salt.39 cl, 8 dwg, 4 tbl, 6 ex

en

PHARMACEUTICAL COMPOSITIONS CONTAINING AN ANTIPSYCHOTIC DRUG AND A VMAT2 INHIBITOR, AND THEIR USE

76430407_US

83070881_US

A61K 31/00,A61K 31/473,A61K 31/4745,A61K 31/519,A61K 31/5415,A61K 31/551,A61K 31/5513,A61K 45/06,A61K2300/00,A61P 25/18,A61P 25/24,A61P 43/00

2004-07-02

N

An information presentation apparatus (10) comprises an image input unit (14) configured to input an image of a target object in a real space, a three-dimensional position posture relation detection unit (16) configured to detect a relation of relative three-dimensional position and posture between the image input unit and the target object using the image of the target object input from the image input unit, a figuration information storage unit (18) configured to store figuration information of the target object, a difference comparison detection unit (20) configured to compare the position and posture of the target object detected by the three-dimensional position posture relation detection unit and a value stored in the figuration information storage unit corresponding to a part of the target object input from the image input unit so as to detect a difference between an actual position and posture of the input target object and stored figuration information of the target object, a figuration information management unit (22) configured to reflect a value of the difference from the difference comparison detection unit on figuration information stored in the figuration information storage unit, a superposed image generation unit (24) configured to generate an image which is obtained by superposing the image of the target object input from the image input unit and figuration information of the target object stored in the figuration information storage unit, and a display unit (26) configured to display the image generated by the superposed image generation unit.

en

INFORMATION PRESENTATION DEVICE AND INFORMATION PRESENTATION SYSTEM USING THE SAME

31218_JP

1662029_JP,1662030_JP,1662027_JP,1662028_JP

G01B 11/00,G06T 3/00,G06T 7/73,H04N 5/262

2010-07-29

N

Antibodies, and particularly human antibodies, are disclosed that demonstrate activity in the treatment of demyelinating diseases as well as other diseases of the central nervous system that are of viral, bacterial or idiopathic origin, including neural dysfunction caused by spinal cord injury. Neuromodulatory agents are set forth that include and comprise a material selected from the group consisting of an antibody capable of binding structures or cells in the central nervous system, a peptide analog, a hapten, active fragments thereof, agonists thereof, mimics thereof, monomers thereof and combinations thereof. The neuromodulatory agent has one or more of the following characteristics: it is capable of inducing remyelination; binding to neural tissue; promoting Ca++ signaling with oligodendrocytes; and promoting cellular proliferation of glial cells. Amino acid and DNA sequences of exemplary antibodies are disclosed. Methods are described for treating demyelinating diseases, and diseases of the central nervous system of humans and domestic animals, using polyclonal IgM antibodies and human monoclonal antibodies sHIgm22(LYM 22), sHIgm46(LYM46) ebvHIgM MSI19D10, CB2bG8, AKJR4, CB2iE12, CB2iE7, MSI19E5 and MSI10E10, active fragments thereof and the like. The invention also extends to the use of human antibodies, fragments, peptide derivatives and like materials, and their use in diagnostic and therapeutic applications, including screening assays for the discovery of additional antibodies that bind to cells of the nervous system, particularly oligodendrocytes.

en

HUMAN IgM ANTIBODIES, AND DIAGNOSTIC AND THERAPEUTIC USES THEREOF PARTICULARLY IN THE CENTRAL NERVOUS SYSTEM

5350307_US,5350308_US,5350306_US,5457545_

5350306_US,5350307_US,5350308_US

A61K 38/00,A61K2039/505,A61P 25/00,C07K 16/18,C07K2317/56,C07K2317/565,C07K2317/75,C07K2317/77,C12Q 1/6876,Y02A 50/30

2013-02-20

N

A new combined index of structure and function (CSFI) for staging and detecting glaucomatous damage is provided. An observational study including 333 glaucomatous eyes (295 with perimetric glaucoma and 38 with preperimetric glaucoma) and 330 eyes of healthy subjects is described. All eyes were tested with standard automated perimetry (SAP) and spectral domain optical coherence tomography (SDOCT) within 6 months. Estimates of the number of retinal ganglion cells (RGC) were obtained from S AP and SDOCT and a weighted averaging scheme was used to obtain a final estimate of the number of RGCs for each eye. The CSFI was calculated as the percent loss of RGCs obtained by subtracting estimated from expected RGC numbers. The performance of the CSFI for discriminating glaucoma from normal eyes and the different stages of disease was evaluated by receiver operating characteristic (ROC) curves. The mean CSFI, representing the mean estimated percent loss of RGCs, was 41% and 17% in the perimetric and pre-perimetric groups, respectively (P<0.001 ). They were both significantly higher than the mean CSFI in the normal group (P<Q.0()1). The CSFI had larger ROC curve areas than isolated indexes of structure and function for detecting perimetric and preperimetric glaucoma and differentiating among early, moderate and advanced stages of visual field loss. An index combining structure and function performed better than isolated structural and functional measures for detection of perimetric and preperimetric glaucoma as well as for discriminating different stages of the disease.

en

SYSTEMS AND METHODS FOR DETERMINING RETINAL GANGLION CELL POPULATIONS AND ASSOCIATED TREATMENTS

46685018_US,46685019_US,46685017_US

46685019_US,46685018_US

A61B 3/0025,A61B 3/1005,A61B 3/102,G01N 33/6893,G01N2800/168,G01N2800/56

2019-09-03

N

A magnetic resonance CEST imaging sequence and apparatus based on a frequency stabilization module. The sequence comprises the following steps: firstly, in a frequency stabilization module, exciting a target slice by means of a small-flip-angle radio-frequency pulse, and collecting three rows of non-phase encoding k-space data; secondly, obtaining, by means of calculating the phase difference between the first row of non-phase encoding k-space data and the second row of non-phase encoding k-space data, a fine estimation value of a main magnetic field frequency drift; then, obtaining, by means of calculating the difference between the phase difference between the second row and the third row and the phase difference between the first row and the second row, a coarse estimation value of the main magnetic field frequency drift; then, determining a value of the main magnetic field frequency drift by means of comparing the difference between the coarse estimation value and the fine estimation value with a threshold value; then, adjusting the center frequency of the radio-frequency pulse according to a calculation result of the main magnetic field frequency drift to realize real-time correction of the main magnetic field frequency drift; and finally, performing conventional magnetic resonance CEST imaging. According to the method, real-time correction of a main magnetic field frequency drift during magnetic resonance CEST imaging is realized, and effective suppression of fat signals is ensured, thereby improving the performance of magnetic resonance CEST imaging.

en

MAGNETIC RESONANCE CEST IMAGING SEQUENCE AND APPARATUS BASED ON FREQUENCY STABILIZATION MODULE

64526632_CN

67650356_CN,77340588_CN,77384989_CN,68577909_CN

A61B 5/055,G01R 33/4616,G01R 33/465,G01R 33/485,G01R 33/543,G01R 33/5605,G01R 33/5607,G01R 33/565,G01R 33/56563,G01R 33/583

2013-12-06

N

The present invention relates to a microblog-oriented emotional entity search system. The system comprises the following five modules: 1) a user interface used for the interaction between a system and a user, so that the user can submit a query request via the module and obtain a feedback result; 2) a query expansion module used for conducting word relationship mining on microblog corpus data and establishing a weighted word relationship diagram in combination with a WordNet ontology base; 3) a query processing module used for converting a query request of a user into a query key word and a query sentence which can be accepted by an index database and conducting query expansion based on the word relationship diagram constructed by module 2); 4) an emotional information mining module used for conducting emotional mining on a microblog corpus and generating a determination rule for an emotional entity and an emotional polarity; 5) an emotional information decision and index establishment module used for determining the emotional entity and emotional polarity of microblog data, establishing an emotional information index and storing same; and 6) an inverted index establishment module used for establishing an inverted index for microblog text information and storing same. The present invention solves the difficult problems of the extraction of a microblog emotional entity, the emotional polarity analysis and the search for an emotional entity, etc., thereby providing an intelligent search product for analyzing and monitoring public opinions on a social network.

en

MICROBLOG-ORIENTED EMOTIONAL ENTITY SEARCH SYSTEM

69633192_CN

64230180_CN,64449814_CN,63940740_CN,67206019_CN,63835376_CN,67863476_CN

G06F 16/95,G06F 16/951,G06F 40/30

2002-06-21

N

There is provided a method of alleviating or reducing the symptoms of uneven pelvic rotation in a patient suffering therefrom; comprising: (a) selecting the patient; (b) identifying the patient's functionally short leg; (c) positioni ng the patient in a substantially prone position, thereby reducing any weight supported by the patient's pelvis; (d) while the patient is in the substantially prone position, simultaneously elevating a front portion of the patient's cephalic thigh adjacent the forwardly rotated acetabular joint and removing restrictions to the rearward rotation of said acetabular joint, while elevating a cephalic portion of the front region of the ilium o n the other side; and, (e) repeating step (d) at least once per month. Therapeutic wedges usef ul in the method are also provided. There is also provided a method of relieving or alleviating the symptoms of chronic spinal movement in the neck in a patient suffering therefrom, comprising: (a) selecting the patient; (b) identifying the direction of spin al movement/misalignment in the patient's neck; (c) positioning the patient in a substantially horizontal position looking upward so as to reduce any weight supported by the patient's neck; and, (d) applying a consistent force to the back of t he patient's neck in the region of the second to fourth cervical vertebrae, thereby urgin g lateral displacement of the cervical spine in a direction opposite to the direction of spinal movement/misalignment in the patient's neck. Therapeutic forms such as neck rolls useful in the method are also provided.

en

METHOD AND APPARATUS USEFUL FOR REDUCING NEUROMUSCULOSKELETAL IMBALANCE

16715144_US

16715144_US

A61F 5/01

2013-05-07

N

A method for training a semantic ability of a subject, the method being performed by a computer the method comprising: a. Displaying a linguistic task to the subject on a display of the computer, said linguistic task comprising providing one or more words, wherein said linguistic task is directed to training the subject in a specific semantic skill or skills; b. Providing a plurality of linguistic clues to the subject, through the display of the computer, said plurality of linguistic clues comprising content capable of activating concepts related to said one or more words but wherein said content does not include said one or more words or synonyms thereof, wherein said linguistic clues are selected such that the subject integrates said plurality of linguistic clues to solve said linguistic task, wherein said linguistic clue comprises an image, audio, video, text or a combination thereof; c. Receiving a solution to said linguistic task by the subject through the computer; and d. If said solution is not correct, providing one or more additional linguistic clues to the subject, said one or more additional linguistic clues comprising content capable of activating concepts related to said one or more words, wherein the subject integrates said one or more additional linguistic clues with said plurality of linguistic clues to solve said linguistic task, and wherein i) said content does not include said one or more words or synonyms thereof, or ii) if said content does include said one or more words or synonyms thereof, said content does not comprise written text.

en

A COGNITIVE TRAINING METHOD FOR SEMANTIC SKILLS ENHANCEMENT

6090431_IL

46853353_IL,46853352_IL

A63F 13/352,A63F 13/44,A63F 13/46,A63F 13/5375,A63F 13/63,A63F 13/67,A63F 13/69,A63F 13/75,A63F 13/79,A63F2300/305,A63F2300/513,A63F2300/552,A63F2300/554,A63F2300/6027,A63F2300/61,A63F2300/8064,G06Q 50/20,G06Q 90/00,G09B 5/06,G09B 19/00,G16H 20/70

2015-06-08

N

The invention discloses a high-precision mirror image type voltage-stabilizing oscillation face recognition system with adjustable filter frequencies. The high-precision mirror image type voltage-stabilizing oscillation face recognition system is mainly composed of a facial image acquisition device and a microprocessor MCU connected with the facial image acquisition device, and is characterized in that the microprocessor MCU is connected with a face recognition circuit, the face recognition circuit is composed of a mirror image type voltage-stabilizing oscillation circuit, a signal processing circuit, a constant-current source circuit and a graph recognition circuit, the signal processing circuit is connected with the mirror image type voltage-stabilizing oscillation circuit, the graph recognition circuit is connected with the constant-current source circuit, and a filter-frequency adjustable circuit is arranged between the signal processing circuit and the constant-current source circuit. The high-precision mirror image type voltage-stabilizing oscillation face recognition system can make the voltage more stable, reduces voltage fluctuation, prolongs service life of circuits, can filter out undesired wave frequencies, avoids interference of the undesired wave frequencies in the recognition process, increases accuracy of the face recognition system, adjusts a potentiometer R3 and a potentiometer R6, and can adjust the recognition frequency of the face recognition system, thereby avoiding misrecognition phenomenon caused by different recognition distances.

en

High-precision mirror image type voltage-stabilizing oscillation face recognition system with adjustable filter frequency

51620956_

18748941_

G06V 40/166,H04N 5/23219

2007-12-05

N

Disclosed are piperidinylamino pyridazine compounds of formula I where the variables are described in the disclosure. The compounds a suitable for use as dopamine 2 receptor antagonists and antipsychotics. Also disclosed is the process for making compounds of formula I and the use of the compounds in making a medicatment to treat a number of antipsychotic disorders such asschizophrenia, schizophreniform disorder, schizoaffective disorder, delusional disorder, brief psychotic disorder, shared psychotic disorder, psychotic disorder due to a general medical condition, substance-induced psychotic disorder, psychotic disorder not otherwise specified, psychosis associated with dementia, major depressive disorder, dysthymic disorder, premenstrual dysphoric disorder, depressive disorder not otherwise specified, Bipolar I disorder, bipolar II disorder, cyclothymic disorder, bipolar disorder not otherwise specified, mood disorder due to a general medical condition, substance-induced mood disorder, mood disorder not otherwise specified, generalized anxiety disorder, obsessive-compulsive disorder, panic disorder, acute stress disorder, post-traumatic stress disorder, mental retardation, pervasive developmental disorders, attention deficit disorders, attention-deficit/hyperactivity disorder, disruptive behaviour disorders, personality disorder of the paranoid type, personality disorder of the schizoid type, personality disorder of the schizotypical type, tic disorders, Tourette's syndrome, substance dependence, substance abuse, substance withdrawal, trichotillomania.

en

PIPERIDINYLAMINO-PYRIDAZINES AND THEIR USE AS FAST DISSOCIATING DOPAMINE 2 RECEPTOR ANTAGONISTS

6038995_

40032819_,41248973_,41474249_,42095742_,42095743_

A61K 31/501,A61P 17/14,A61P 25/00,A61P 25/18,A61P 25/22,A61P 25/24,A61P 25/28,A61P 25/36,C07D 401/12

2002-11-14

Y

Apparatus is provided for delivering a Non Steroidal Anti-Inflammatory Drug (NSAID) supplied to a body of a subject for delivery to at least a portion of a central nervous system (CNS) of the subject via a systemic blood circulation of the subject, including a stimulator adapted to stimulate at least one site of the subject, so as to cause an increase in passage of the NSAID from the systemic blood circulation across a blood brain barrier (BBB) of the subject to the portion of the CNS, during at least a portion of the time that the NSAID is present in the blood, the site selected from the list consisting of: a sphenopalatine ganglion (SPG) of the subject, an anterior ethmoidal nerve of the subject, a posterior ethmoidal nerve of the subject, a communicating branch between an anterior ethmoidal nerve and a retro-orbital branch of an SPG of the subject, a communicating branch between a posterior ethmoidal nerve and a retro-orbital branch of an SPG of the subject, a greater palatine nerve of the subject, a lesser palatine nerve of the subject, a sphenopalatine nerve of the subject, a communicating branch between a maxillary nerve and an SPG of the subject, a nasopalatine nerve of the subject, a posterior nasal nerve of the subject, an infraorbital nerve of the subject, an otic ganglion of the subject, an afferent fiber going into the otic ganglion of the subject, an efferent fiber going out of the otic ganglion of the subject, a vidian nerve of the subject, a greater superficial petrosal nerve of the subject, and a lesser deep petrosal nerve of the subject.

en

Administration of anti-inflammatory drugs into the central nervous system

7189366_IL

7399963_IL

A61M 5/14276,A61M 5/1723,A61M2205/3303,A61M2210/0618,A61M2210/0693,A61N 1/0526,A61N 1/0546,A61N 1/0548,A61N 1/205,A61N 1/325,A61N 1/36017,A61N 1/3605,A61N 1/36071,A61N 1/36082

2011-05-25

Y

The invention relates to a system and a method for assessment of walking and miming gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the detection of specific temporal events and parameters, 5 optimized fusion and de-drifted integration of inertial signals, automatic and online virtual alignment of sensors module, 3D foot kinematics estimation, a kinematic model for automatic online heel and toe position estimation, and finally the extraction of relevant and clinically meaning-full outcome parameters. Advantageously including at least one wireless inertial module attached to foot, the system provides common spatio-temporal parameters (gait cycle time, stride length, and stride velocity), with the 10 advantage of being able to work in unconstrained condition such as during turning or running. It furthermore may provide original parameters for each gait cycle, both temporal (load, foot-flat and push duration) and spatial (foot clearance and turning angle), and their inter-cycles variability. The system and method according to the invention allows the assessment of various aspects of gait which have shown recently to be of premium importance in research and clinical field, including foot clearance, 15 turns, gait initiation and termination, running, or gait variability. The system may be light weight, easy to wear and use, and suitable for any application requiring objective and quantitative evaluation of gait without heavy laboratory settings.

en

System and method for 3D gait assessment

52515944_CH,52509244_CH,6112321_CH

52509244_CH,52515944_CH

A61B 5/1038,A61B 5/112,A61B 5/6807,A61B 5/6829,A61B 5/7242,A61B2562/0219

2014-09-17

N

　Using an optogenetic gene expression regulation system, the present invention provides a method for controlling, by using light irradiation to regulate the expression of factors that determine neural differentiation, whether to proliferate and maintain neural precursor cells (NPC), or whether to induce differentiation of neural stem cells into nervous system cells. The present invention is based on: the discovery that neural differentiation factors such as Ascl1, Hes1, and Olig2 are expressed in NPCs periodically in an oscillatory manner but that the expression of any one of these becomes dominant during fate determination; and the structure of gene expression systems in which a target gene can be expressed periodically in an oscillatory manner. In other words, the present invention provides a method for either oscillating the expression of a target factor and maintaining and amplifying NPCs, or inducing sustained expression of the target factor and inducing differentiation into committed nervous system cells by said factor, said method being accomplished by introducing, into NPCs, a nucleic acid which codes a transcriptional activator (GAL4-Vivid-p65 fusion protein; GAVPO) that is activated (dimerized) in response to blue light, and a nucleic acid which links DNA, which codes a target neural differentiation determining factor downstream of a promoter that includes a cis sequence to which the transcriptional activator binds, and a 3'-UTR, which destabilizes mRNA, and by irradiating the NPCs with blue light for short periods of time, changing the cycle.

en

OPTOGENETIC CONTROL METHOD FOR PROLIFERATION AND DIFFERENTIATION OF STEM CELLS

67870365_JP

64162291_JP,69663301_JP,67466448_JP

C07K 14/37,C07K 14/395,C07K 14/4702,C07K2319/80,C12Q 1/6897

2000-03-28

Y

A biometric machine method for instantaneous assessment of the fine motor control of a human individual through analysis of that individual's handwriting dynamics in which the dynamic data concerning forces, accelerations, and the like, of a scriber, is collected during the process of cursive writing. The criteria of stability, smoothness and synchronization of the writer's motion are returned by the system as quantifying measures of the neurological function. The method processes behavioral random signals with application of the correlation function analysis to the handwriting dynamic signals. In one embodiment, the system includes an instrumented pen connected to a computer, power supply, and analog-to-digital converter, and with the handwriting samples provided on any writing surface. In a second embodiment, the system comprises an instrumental digital tablet having an active area and non-instrumented scriber with the handwriting samples provided on the active area of the grid. The method is simple and not invasive. The analysis takes less than a minute to return the numerical criteria scores and graphical displays showing stability of the handwriting strokes and the characteristics of the phase distortions in reproducing cursive samples. The invention can be applied for monitoring patients with neurological disorders, monitoring people with alcohol/drug abuse problems, detection of fine motor control deterioration as a result of exposure to toxic materials, and testing the efficacy of countermeasures to improve impaired fine motor control functions.

en

System for assessment of fine motor control in humans

8682765_US,8682766_US

8682768_US,8682767_US

A61B 5/1101,A61B 5/1104,A61B 5/16,A61B 5/4082,A61B 5/6825,A61B2560/0418,G06V 30/1423

2008-03-01

N

The invention relates to a cerebral potential activating system which can be used for developing the whole brain and a method for using the same. The cerebral potential activating system is characterized in that: resources of a left brain are occupied in virtue of the 'one-brain-multi-use' means and through multi-channel and multi-aspect stimulation of a visual system, an auditory system, a gustatory and olfactory system and a haptic system and other means aiming at the characteristics that the left brain is 'time-dependent, sequential and serial' and 'can not have multi-use with one brain'; the left brain is held down so as to weaken or eliminate habitual control of the left brain to the right brain, liberate and waken the right brain, coordinate the left brain and the right brain and activate the potential of the whole brain; and nervous synapses of undeveloped areas, stasis areas and disuse areas of the brain are activated and the blood circulation of corresponding positions is improved so that the potential functions of the right brain can be utilized by people who are in the waking state just like the conscious awareness of the left brain, thereby providing material conditions for intelligence development, nerve release, fatigue elimination and disease prevention and cure. The instrument not only is suitable for children, particularly suitable for potential development of the right brain and the application of the whole brain functions of 'overage' teenagers and even adults, but also is favorable for rehabilitation of diseases caused by the brain.

en

System for activating potential of brain used for development of whole brain and use method thereof

17947767_CN

18213873_CN,17947767_CN

A61N2005/0648,A61N2005/0653

2018-03-12

N

The present invention relates to a low-coherence interferometer apparatus or device (100, 200) for determining information on the structure and/or the location of interfaces of an object (13) comprising: a polychromatic light source (11); an optical system for generating a measurement optical beam and a reference optical beam; a delay line (14) for introducing a variable optical delay between themeasurement optical beam and the reference optical beam; a detection optic (15) for combining the measurement optical beam and the reference optical beam, and for producing a spectral signal representative of an optical-power spectral density of the resulting interference signal; a processing and controlling module (16) arranged to acquire a plurality of spectral signals for a plurality of opticaldelays, to determine, for each spectral signal, information on the optical lag between interfering beams in a measurement range called the spectral measurement range, to analyse the variation in saidoptical lags as a function of the optical delay and to assign the one or more optical lags determined on the basis of the various spectral signals to one or more what are called interface curves (521, 522, 523, 524), corresponding to straight lines of positive, negative, zero or almost-zero gradient, depending on the respective optical delay of the acquisition of said spectral signals, and to deduce therefrom information on the structure and/or the location of interfaces of the object (13). The invention also relates to a method implemented in this device or this apparatus.

en

LOW-COHERENCE REFLECTOMETRY METHOD AND DEVICE EMPLOYING TIME-FREQUENCY DETECTION

59322745_

75544441_,65315860_,70418528_

A61B 5/0066,A61B 5/1075,G01B 9/02044,G01B 9/02057,G01B 9/02064,G01B 9/02065,G01B 9/02078,G01B 9/02083,G01B 9/02085,G01B 9/0209,G01B 9/02091,G01B 11/06,G01B 11/0625,G01B 11/0675,G01B2210/56,G01B2290/35,G01N 21/4795

2019-10-12

N

The invention discloses a mental image technique chain. The mental image technique chain comprises a multi-modality MRI module, a data quality control module, a mental image data platform, an image processing and coordinate calculation module and a characteristic vector space module, wherein the multi-modality MRI module is used for acquiring image data, and the data comprises magnetic resonance imaging (MRI) data; the data quality control module is used for receiving the image data in the multi-modality MRI module and performing quality monitoring on the image data; the mental image data platform is used for receiving data in the data quality control module and forming mental image data, and is also used for receiving data of a clinical and psychological assessment module and forming clinical data and a mental gauge; the image processing and coordinate calculation module is used for receiving and processing the mental image data to obtain image characterization indexes; and the characteristic vector space module is used for receiving the clinical data and the mental gauge, forming the clinical characterization indexes, performing combination analysis treatment on the clinical characterization indexes and the image characterization indexes to obtain a multi-modality characteristic space. According to the mental image technique chain disclosed by the invention, based on the combination of MRI and clinical gauge and data, a complete technique chain having the effect of providing technical support for diagnosis and treatment of mental illness is provided.

en

Mental image technique chain

67076337_

59601300_,65262075_,61963232_,58916592_,60042984_

A61B 5/055,A61B 5/165,A61B 5/72,A61N 1/20,A61N 2/00,A61N 7/00

1987-08-20

Y

A deviation detecting device comprising an optical system for forming correlated first and second images of an object; first and second image sensors for sensing the first and second images so as to generate first and second outputs representative of the intensity distributions thereof, respectively; a correlation detector for shifting the first output relative to the second output while incrementally changing the amount of shifting so as to detect a plurality of correlation degrees representative of the degrees of the correlation between the first and second outputs at different shift position defined by the incremental change in the amount of shifting; a highest correlation shift position detector for detecting the shift position which is defined by the amount of shifting providing the highest correlation degree; a calculation unit for calculating, based on the shift position detected by highest correlation shift position detector, data corresponding to the amount of deviation of the first and second images from a reference value; and a first determination unit for determining which of the correlation degree at a shift position next to the highest correlation shift position and the correlation degree at a position further next to the highest correlation shift position is lower than the other. The calculation unit is arranged to be disabled when the determination by the first determination unit indicates that the correlation degree at the shift position next to the highest correlation one is lower than that at the shift position further next thereto.

en

Automatic focusing system with correlation-determined disabling

5235029_JP

5288932_JP,5288931_JP

G02B 7/34

1991-07-22

Y

An optical pattern recognition method which can be applied to a joint transform correlator operative to effect correlation processing between a plurality of reference images and at least a single object image to produce correlation peaks corresponding to the respective reference images. The joint transform correlator is provided with a feedback system effective to regulate the intensity of the respective reference images according to the corresponding correlation peak value so as to noise-shape the correlation peaks to discriminate most-correlated reference images. The pattern recognition method is carried out in the correlator sequentially by first preparing a plurality of initial groups each containing a given number of individual reference images and carrying out the pattern recognition of the object image with respect to each of the initial groups to discriminate each of the most-associated reference images having a maximum correlation coefficient in each initial group. Next, the discriminated most-associated reference images are regrouped into new groups, the number of groups is less than that of the initial groups, and the pattern recognition of the object image with respect to the new groups is again carried out so as to enable next regrouping. Then, the regrouping is repeatedly carried out so as to reduce the number of the groups to thereby form a final group and carrying out the pattern recognition of the object image using the final group of reference images to thereby determine a particular reference image corresponding to the object image.

en

Optical pattern recognition using multiple reference images

5214822_JP

5797723_JP,7330309_JP

G06V 10/92

2001-08-27

Y

A support structure (30,31,36,40) supports a powered lifting means (53) for lifting a patient from a wheelchair a treadmill (140). A control panel (42) with a mirror (44) thereon is supported at one end of the support structure (30,31,36,40), and a touch screen data entry/display device (46) is supporte d by the panel (42). Two similar housings (160) each pivotally supports a support arm (195). Each support arm (195) pivotally supports a first dependi ng arm (276), and a second depending arm (332) is pivotally supported therefrom . A pair of servo motors (200,210) are connected to the first and second depending arms to independently move the depending arms about pivot axes thereof. A first attachment cuff (320) is conneceted to the first depending arm for attachment to a patient's thigh. A second attachment cuff (362) is conneceted to the second depending arm for attachment to a patient's ankle. The support arms (276,332) are vertically adjustable, and the attachment cuf fs (320,362) are horizontally adjustable. The first attachment cuff (320) is vertically adjustable, and the second attachment cuff (362) floats verticall y realtive to its depending arm (332). Controlmeans (400) is connected to the drive means (150) for the treadmill and the servo motors (220,210) which mov e the depending armsto cause the treadmill and the depending arms to operate i n a coordinated manner to cause the legs of the patient to move in a desired gait. Sensor means (384,386) is also provided for sensing the home position as well as possible over-travel of the knee joint.

en

POWERED GAIT ORTHOSIS AND METHOD OF UTILIZING SAME

16745098_US

16745099_US

A61F 5/0102,A61H 1/0262,A61H 3/00,A61H 3/008,A61H2201/0192,A61H2201/1215,A61H2201/164,A61H2201/1642,A61H2201/165,A61H2201/5064,A61H2230/06,A61H2230/30,A61H2230/80,A63B 22/02

1997-02-24

N

Farnesyl protein transferase inhibitors e.g. of formula (I) and (II) and their enantiomers, diastereomers, salts, prodrugs and solvates are new: G = a group of formula (i): m, n, r, s, t = 0 or 1; p = 0-2; V, W, X = O, H, R1, R2 or R3; Z, Y = CHR9, SO2, SO3, CO, CO2, O, NR10, SO2NR11, CONR12, C(=NCN), C(=NCN)NR13, NR14C(=O), NR15SO2, C(=O)N(R16)N(R17), SO2N(R18)N(R19), S(=O)(=NR20), S(=NR21)(=NR22) or Z may be absent; R6, R7, R9-R22, R24-R38 = H, lower alkyl, substituted alkyl or optionally substituted aryl; R4, R5 = H, halo, NO2, CN or UR23; U = S, O, NR24, CO, SO, SO2, CO2, NR25CO2, NR26CONR27, NR28SO2, NR29SO2NR30, SO2NR31, NR32CO, CONR33, PO2R34, PO3R35 or is absent; R1-R3 = H, alkoxycarbonyl, aralkyl, cycloalkyl, CN, COOH, CONQ1Q2 or optionally substituted alkyl, alkenyl, alkynyl, aryl or heterocyclyl; Q1, Q2 = H, alkyl aryl or aralkyl; R8, R23 = H, aralkyl, cycloalkyl or optionally substituted alkyl, alkenyl, alkynyl, aryl or heterocyclyl; or two of R1-R3 = cycloalkyl; R, S', T = CH2, CO or CH(CH2)pQ; Q = NR36R37, OR38 or CN; A, B, C, D = C, O, S or N; provided that (i) when m = 0 then V and W are not both O, or W + X = O only if Z = absent, O, NR10, CHR9, NR14C(=O) or NR15SO2 in (I) or (II) and V+X = O only if Y = O, NR10, CHR9, NR14C(=O) or NR15SO2 in (III) or (IV); (ii) R23 is not H when U = SO, SO2, NR25CO2 or NR28SO2; or R8 is not H when Z = SO2, CO2 NR15SO2, S(=O)(=NR20) or S(=NR21)(=NR22). About 560 compounds are specifically claimed e.g. 2,3,4,5-tetrahydro-1-(1H-imidazol-4-ylmethyl)-4-(1- naphthalenylcarbonyl)-1H-1,4-benzodiazepine.HCl.

en

Inhibitors of farnesyl protein transferase

99146_US

602762_US,598771_US,44830144_US,44830145_US,44830146_US,1354024_US

A61P 35/00,A61P 43/00,C07D 243/14,C07D 401/14,C07D 403/06,C07D 403/14,C07D 405/14,C07D 409/14,C07D 413/14,C07D 417/14,C07D 471/04,C07D 473/00,C07D 487/04,C07D 495/04

1988-01-20

Y

The invention relates to novel substituted tyrosyl alanine dipeptide amides of the formula: <IMAGE> and the pharmaceutically acceptable acid addition salts thereof wherein R1 is hydrogen, lower alkyl, hydroxy, -OCO2 lower alkyl, lower alkoxy, -O(CH2)n-phenyl with the phenyl optionally substituted by halogen, -NO2, -CN, -NH2 or lower alkyl wherein n is 1 to 4; R2 and R3 represent lower alkyl, halogen, or lower alkoxy, or either one of R2 or R3 is hydrogen and the other is lower alkyl, lower alkoxy or halogen; R4, R5, R6, R7, R8, and R9 may be the same or different and represent hydrogen or lower alkyl; R10 is selected from the group consisting of -(ALK)X where ALK represents alkylene, thioalkylene, oxyalkylene, having 1 to 5 carbon atoms; alkenylene and alkynylene having 2 to 4 carbon atoms; and X represents pyridyl, pyrimidinyl, 9H-fluoren-9-yl, diphenylmethyl, thienyl, carboxy, lower alkoxy carbonyl, substituted phenyl wherein the phenyl substitutent is amino, hydroxy, halogen, nitro, methylenedioxy, lower alkyl, carboxy, lower alkoxycarbonyl, lower alkoxy, carboxamide, diloweralkylamino or X represents phenyl when ALK is not alkylene; or R10 is <IMAGE> where p and q are independently 1 to 4; or R9 and R10 together with N is <IMAGE> where r and t are independently 1 to 4; v represents an symmetric carbon that may be racemic or have the D or L configuration; w represents an asymmetric carbon when R7 and R8 are not the same that may be racemic or have the D or L configuration. These compounds are useful as analgesic and/or antihypertensive compounds.

en

Fluorenyl substituted tyrosyl dipeptide amides which are useful in treating pain

5245799_US

6452692_US,5388362_US,6452693_US,5388273_US

A61K 38/00,C07K 5/06078

1992-02-18

Y

1. An optical method of recognition and classification of patterns or image, on real time basis, comprising (a) measuring necessary times a respective output of correlation betwveen each of reference patterns and a specific pattern to be tested which is to belong to a specific class; (b) calculating a representative value for each set of the correlation output, from the set of the measured data of the correlation outputs, in regard to said each of reference patterns and said specific pattern, and a respective parameter to represent the degree of the deviation of the measured data of said correlation outputs belonging to said each set of correlation outputs; (c) making a respective membership function corresponding to each of said reference patterns for each of the specific classes to which the specific pattern should be classified or belong, on the basis of said respective representative value and said respective parameter; (d) estimating a respective membership value to each of the respective membership function, assigned to each of the specific classes to which the pattern should be classified or belong, on the basis of the respective output of correlation between the pattern to be tested and said each of reference patterns; (e) selecting the smallest membership value among the resulting membership values; or estimating an average of all said resulting membership values; (f) using the resulting smallest membership value or the resulting average as a degree to judge how much said pattern to be tested belongs to each of the specific classes. <IMAGE>

en

Method of optical recognition and classification of pattern

3105585_JP,8698_JP

3140694_JP,3140695_JP,3140696_JP

G06V 10/75,G06V 10/88

2012-05-16

Y

The present invention provides a method for easily manufacturing an anti-reflection film, an anti-reflection film, a polarizing plate and an image display device obtained by using the film. The anti-reflection film has excellent anti-reflection property, excellent scratch resistance and stain resistance, and inhibits the occurrence of slight whitening which has not been answered until now. The method for manufacturing the anti-reflection film contains three steps in order. The step (1) is coating the component for forming a low-refraction layer on the transparent substrate and forming the coating film, wherein the component at least includes fluorine containing compounds, particles, and binder resin. The step (2) is phase-separating the coating film into a low-refraction phase and a stain-resistance phase. The step (3) is heating the low-refraction phase and the stain-resistance phase, or irradiating the low-refraction phase and the stain-resistance phase by the ionization radiation, and then forming the low-refraction layer and the stain-resistance layer covering the whole surface of the low-refraction layer. The anti-reflection film has at least the transparent substrate, the low-refraction layer and the stain-resistance layer in order. The ratio of fluorine atom and carbon atom measured by X-ray photoelectron spectrometry (XPS) from the side of the stain-resistance layer is 0.6 to 1.0, and the ratio of silicon atom and carbon atom is less than 0.25. The average surface roughness (Ra') of the stain-resistance layer is less than or equal to 10 nm.

en

Method for manufacturing anti-reflection film, anti-reflection film, polarizing plate, and image display device

5231195_JP

41267401_JP,41058110_JP,25076976_JP

G02B 1/11,G02B 1/111,G02B 5/30,G02F 1/1335,G02F 1/133528

1994-12-06

Y

A method and apparatus for recognizing the topic structure of language. Language data is divided into simple sentences and a prominent noun portion (PNP) extracted from each. The simple sentences are divided into blocks of data dealing with a single subject. A starting point of at least one topic is detected and a topic introducing region of each topic is determined from block information and language data characteristics. A PNP satisfying a predetermined condition is chosen from the PNPs in each determined topic intro. region as the topic portion (TP) of the topic in the topic intro. region. A topic level indicating a depth of nesting of each topic and a topic scope indicating a region over which the topic continues is determined from the TP and sentences before and after the TP. Sub-topic intro. regions in the remaining area where no topic intro. regions are recognized are determined from block information and language data characteristics. A PNP satisfying a predetermined condition is chosen from the PNPs in each determined sub-topic intro. region as the sub-topic portion (STP) of the sub-topic in the sub-topic intro. region. A temporary topic level indicating a depth of nesting of each sub-topic and a sub-topic scope indicating a region over which the sub-topic continues is determined from the STP and sentences before and after the STP. All determined topics and sub-topics are unified by revising the temporary topic level of each sub-topic according to the topic level of each topic. These topics and their levels are output as a topic structure.

en

Method and apparatus for recognizing topic structure of language data

5218723_JP

7717092_JP,7717093_JP,7717094_JP,6980328_JP

G06F 40/253

2021-01-08

N

Disclosed is a method for dynamically optimizing a loss function by means of error cause reinforcement. An optimized loss function is named as ER-Loss, and is realized by means of adding a penalty term on the basis of an original cross-entropy loss function, the penalty term including the following four modules: a penalty degree amplification factor A; a penalty degree adjustment coefficient Aprob for adjusting the influence of the amplification factor A on the correlation between categories of a data set, and an actual output probability of correlated categories according to the actual situation during a training process, and enabling the amplification factor A to automatically adapt to different stages of training; a correlation combination X between the categories of the data set in each network; and the probability PYijd of correlated categories, which is dynamically adjusted according to each training condition of a model. By means of the present invention, compared with the prior art, an amplification factor A is dynamically adjusted by means of a penalty degree adjustment coefficient Aprob, such that identification is more flexible; moreover, a correlation combination X between categories of a data set in each network is introduced, such that the determination of a category feature by a model is more comprehensive, the object identification precision of the model is improved, the deviation between an obtained result and an actual result is reduced, and the identification accuracy of a deep learning network model can be effectively improved.

en

METHOD FOR DYNAMICALLY OPTIMIZING LOSS FUNCTION BY MEANS OF ERROR CAUSE REINFORCEMENT

73339008_CN

85341956_CN,69635135_CN,85334986_CN,66820323_CN,84794753_CN

G06F 17/15,G06K 9/6256,G06K 9/6268

2019-09-17

N

An auditory brainstem response automatic test method based on an adaptive averaging method. With regard to auditory brainstem response single records collected in batches under various test sound intensities from high to low, on the basis of calculation performed using an adaptive averaging method, the average number of records is increased gradually by means of iteration, and a signal-to-noise ratio is increased until an auditory brainstem response signal detection condition is met, the condition involving obtaining two groups of average curves by means of auditory brainstem response single records collected in groups and in batches, calculating a time lag where the maximum value of a cross-correlation function of the two groups of average curves is located, and determining, according to whether the deviation of the time lag is within a specified range, whether there is an auditory brainstem response signal with a time locking characteristic. A hearing threshold value is obtained by means of the minimum sound intensity required for detecting a signal; or an accurate sound intensity corresponding to the hearing threshold value is obtained by performing function fitting on the number of iterations used in each test sound intensity and by means of an interpolation method. The method has a high efficiency in detecting a threshold value, has an accuracy close to that of manual determination, is more objective, has a better repeatability, and can effectively reduce the number of times that an auditory brainstem response record is repeatedly collected.

en

AUDITORY BRAINSTEM RESPONSE AUTOMATIC TEST METHOD BASED ON ADAPTIVE AVERAGING METHOD

78682988_CN

78964328_CN,78487619_CN,79229783_CN,79189080_CN,78683875_CN,79174376_CN,79201198_CN

A61B 5/316,A61B 5/38,A61B 5/7203,A61B 5/7235

2017-12-18

Y

The invention provides a near-infrared fluorescence detecting device. The near-infrared fluorescence detecting device includes: a white light source unit that irradiates white light to an observationtarget; a near-infrared excitation light source unit that emits near-infrared excitation light to the observation target; and a photodiagnostic assembly that is respectively conveyed by the The whitelight and the near-infrared excitation light reflect the reflected white light and the near-infrared fluorescence generated from the observation object; the multi-wavelength image processing unit detects the reflected white light and the near-infrared fluorescence received from the photo diagnostic assembly And respectively processed as a visible light reflected light image signal and a near infrared fluorescent image signal; a display unit that outputs the visible light reflected light image signal and the near infrared fluorescent image signal processed by the multi-wavelength image processing unit a combined composite image signal; the multi-wavelength image processing unit separates the detected reflected white light into red (R), green (G), and blue (B), and then detects the near infrared rays The pixel of the fluorescent image signal is composed of red (R), green (G), and blue (B), and the first color reflects the visible light reflected light image signal. Pixel embodiment can detect the near-infrared fluorescent image signal near the color reflected by a second color different from the first video signal is an infrared fluorescent image processing.

en

APPARATUS AND METHOD FOR DETECTING NEAR-INFRARED FLUORESCENCE

65338243_

70241258_,70646359_

A61B 1/00009,A61B 5/0059,A61B 5/0071,A61B 5/418,G01N 21/64

2020-04-06

N

A system and method provides an estimator game on a computing device for habituating complex learning processes, wherein the estimator game displays a source image on the computing device, and the computing system analyzes a particular image aspect of the visual image such as the percentage area of the visual image comprising a distinctive color, for example, the color black. The system includes an estimator module allowing the user to view and evaluate the image and subjectively enter an estimate associated with the image aspect. The estimation data is entered by the user, and stored by the processor in an associated computer readable memory, and then the estimation process is repeated with the user. The computing system runs the user through multiple image evaluations before providing performance feedback, wherein the estimator game generates feedback to the user in clusters or image sets. This allows the user to complete multiple iterations without feedback, and when the feedback is provided, the user can better recognize learning errors and patterns in order to build new skills. Without the awareness of when and where the user makes errors, the mistakes cannot be corrected to build expertise. The estimator game provides opportunities for further rehearsal after this detailed feedback including the opportunity to increase complexity by increasing variables or ambiguities associated with the images. As a result, the inventive system incorporates self-observation and pattern recognition by the user, which is critical to building any expertise.

en

SYSTEM AND PROCESS USING AN ESTIMATOR GAME FOR HABITUATING COMPLEX LEARNING PATTERNS

16777325_US

16777325_US

A63F 13/2145,A63F 13/67,A63F 13/80,G06F 3/04847,G06F 3/04886,G09B 5/02,G09B 19/025

2020-03-03

Y

A method of transferring a facial expression from a subject to a computer generated character that includes: receiving a plate with an image of the subject's facial expression and an estimate of intrinsic parameters of a camera used to film the plate; generating a three-dimensional parameterized deformable model of the subject's face where different facial expressions of the subject can be obtained by varying values of the model parameters; solving for the facial expression in the plate by executing a deformation solver to solve for at least some parameters of the deformable model with a differentiable renderer and shape-from-shading techniques, using as inputs, the three-dimensional parameterized deformable model, estimated intrinsic camera parameters, estimated lighting conditions and albedo estimates over a series of iterations to infer geometry of the facial expression and generate an intermediate facial; generating, from the intermediate facial mesh, refined albedo estimates for the deformable model; and solving for the facial expression in the plate by executing the deformation solver using the intermediate facial mesh, the estimated intrinsic camera parameters, the estimated lighting conditions and the refined albedo estimates as inputs over a series of iterations to infer geometry of the facial expression and generate a final facial mesh using the set of parameter values of the deformable model which result in a facial expression that more closely matches the expression of the subject in the plate than does the intermediate facial mesh.

en

Facial performance capture in an uncontrolled environment

7106131_US

74856266_US,58041504_US,8245916_US

G06T 7/80,G06T 13/40,G06T 17/00,G06T 19/20,G06T2200/08,G06T2207/30201,G06T2219/2021

2019-11-12

N

A facial feature point positioning method and apparatus, a computing device and a storage medium. Said method comprises: inputting a target facial image of a feature point to be positioned into a first convolutional neural network model, so as to obtain a first shallow feature image which contains a plurality of candidate feature points and is outputted by a predetermined convolutional layer of the first convolutional neural network model (210); using a bilinear interpolation algorithm to perform bilinear interpolation on the candidate feature points in the first shallow feature image, so as to obtain a second shallow feature image (220); and inputting the second shallow feature image into a second convolutional neural network model cascaded with the first convolutional neural network model, so as to obtain a facial feature image which corresponds to the target facial image of the feature point to be positioned and is outputted by the second convolutional neural network model (230), the weight of a predetermined convolutional layer of the second convolutional model and the weight of each convolutional layer before same being consistent with the weight of the convolutional layer in a corresponding layer number of the first convolutional model, respectively. By means said method, the positioning precision of the facial feature point is improved, and since convolution layers of cascaded models share weights, the calculation amount and the parameter amount can be reduced, and the training speed and convergence speed of the models can be improved.

en

FACIAL FEATURE POINT POSITIONING METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE MEDIUM

63942312_CN

81400352_CN

G06N 3/0454,G06N 3/084,G06V 40/161,G06V 40/168

2008-07-10

Y

FIELD: physics.SUBSTANCE: computer implemented method for assisting in colour selection involves associating, depending on a mathematical equation derived from measurements of psycho-physical responses of a certain set of test subjects to a first set of control colours, a colour emotion score with each of a second set of colours that are numerically defined in a colour library; displaying on a visual user interface a combination of at least three colours from the colour library; displaying on the visual user interface the combined colour emotion score for said combination of colours; the combined colour emotion score is calculated using a controller as follows: (a) calculating for each unique colour combination pair of adjacent colours the colour emotion score of a pair of adjacent colours using a first equation depending on the colour emotion score of each colour of the pair of adjacent colours; (b) calculating for each unique colour combination pair of non-adjacent colours the colour emotion score of a pair of non-adjacent colours using a second equation depending on the colour emotion score of each colour of the pair of non-adjacent colours; (c) wherein the combined colour emotion score = 1/n (? colour emotion score of the pair of adjacent colours + ? colour emotion score of the pair of non-adjacent colours), where n is the total number of unique pairs of adjacent and non-adjacent colours of the colour combination.EFFECT: facilitating colour selection using a controller without the need for the user to select a primary colour.48 cl, 17 dwg

en

COLOUR SELECTION SYSTEM

64561021_US

68550700_US,64697804_GB,63792805_GB,68722360_US

G01J 3/46,G01J 3/462,G01J 3/526

2014-09-02

Y

The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method. The system includes an infrared window (1), a two-dimensional rotating mirror (2), a planar reflector (3), a reflective multiband infrared lens system (4), a Fourier interference spectrum module (5), an image-spectrum associated processing module (6), a power supply module (7), a refrigerating module (8), and a display module (9); the incident light enters from the infrared window (1), is reflected by the two-dimensional rotating mirror (2), and then is reflected by the planar reflector (3) to the reflective multiband infrared lens system (4) and then is split by a spectroscope (42); the transmitted light is focused by means of a convergent lens and is imaged on an infrared detector (43); the reflected light is focused on an infrared optical fiber coupler (44) and enters the Fourier interference spectrum module (5) through an infrared optical fiber to form an interference pattern, and further, spectrum data is obtained through Fourier transformation; the image-spectrum associated processing module (6) effectively combines broadband spectrum imaging and non-imaging spectrum data, and controls the two-dimensional rotating mirror (2) to point to a target, thereby implementing intelligent remote sensing measurement. The present invention has capabilities of performing local scene region spectrum measurement and multi-target tracking spectrum measurement, has high speed, an appropriate data amount, and low cost.

en

Multiband common-optical-path image-spectrum associated remote sensing measurement system and method

11418110_CN

55814731_CN,55811074_CN,53506607_CN,54639794_CN,55835311_CN,55832903_CN

G01J 3/0208,G01J 3/453,G01J2003/2826,G01V 8/10

1975-06-24

Y

New benzodiazepine derivatives of the general formula (I), (I) wherein R1 stands for halogen, trifluoromethyl, nitro or amino, R2 stands for hydrogen or alkyl, and R3 stands for nitroso, amino, optionally substitued alkylideneamino, optionally substituted aralkylideneamino or optionally substituted acylamido, are prepared as follows: a 1,3,4,5-tetrahydro-2H-1,4-benzo-diazepine-2-one derivative of the general formula (II), (II) wherein R1 and R2 each have the same meanings as define above, is subjected to direct nitrosation, and, if desired, the thus-obtained N4-niroso compound of the general formula(III), (III) wherein R1 and R2 each have the same meanings as defined above, is reduced, and, if desired, a) the thus-obtained N4-amino compound of the general formula (IV), (IV) wherein R1 and R2 each have the same meanings as defined above, is reacted with an aldehyde of the general formula (V), R4-CHO (V) wherein R4 stands for an optionally substituted alkyl, aryl or aralkyl group, or b) the N4-amino compound of the general formula (IV), obtained as described above, is reacted with a compound of the general formula (VI), R3-CO-Y (VI) wherein Y stands for halogen or hydroxy and R5 stands for an optionally substituted aliphatic or aromatic hydrocarbyl group, and, if is desired, any compound of the general forming(I), wherein R2 stands for hydrogen and the other substituents are as defined above, is alkylated. The new compounds according to the invention possess remarkable enzyme-inducing effects and exert only moderate central nervous activities.

en

BENZODIAZEPINE DERIVATIVES AND A PROCESS FOR THE PREPARATION THEREOF

11219493_

15959836_,13258382_,13258383_,15919833_,13258379_,13258381_

A61P 3/00,A61P 25/20,A61P 39/02,C07D 243/24,C07D 243/26

2017-03-09

N

A medical rehabilitation device, especially a postoperative functional exerciser for scapulohumeral periarthritis, comprising: a hand push rod (1), and a restrictive band (2) for restricting the elbow; the hand push rod (1) comprising a wristband (11) and a push rod (12), one end of the push rod (12) is connected to the wristband (11); when the hand push rod (1) and the restrictive band (2) are in operation, a part of the restrictive band (2) winds around the elbow joint of an affected arm, the other part thereof winds around a waist buckle at a waist portion of the restrictive band (2) on a side opposite to the affected arm, and the wristband (11) is sheathed on the wrist of the affected arm. The upper arm is tied to the body by means of the restrictive band (2), which allows the elbow and upper arm to be pressed tightly against an outer edge of a patient's rib bones. The wristband (11) is sheathed on the wrist or upper arm of the affected arm. Another person, or the patient by using the non-affected arm, can drive the wristband (11) by means of the push rod (12), so as to drive the upper arm to swing outwards. Compared with existing technologies, the present invention makes it possible for patients to complete post scapulohumeral periarthritis operation physical therapy irregardless of his or her economic capacity, time or location, making a special rehabilitation a possibility after scapulohumeral periarthritis surgeries. The present invention is especially meaningful for arthroscopic radical arthroplasty for scapulohumeral periarthritis.

en

POSTOPERATIVE FUNCTIONAL EXERCISER FOR SCAPULOHUMERAL PERIARTHRITIS

64521629_CN

63809297_CN,64441347_CN,69063682_CN,63674178_CN,64513962_CN,64453398_CN,66830077_CN

A61H 1/00,A61H 1/02,A61H 1/0281,A61H2201/0157,A61H2201/0192,A61H2201/1253,A61H2201/1276,A61H2201/163,A61H2201/1638,A61H2201/165,A61H2201/1652,A61H2205/062

2001-05-22

Y

A perceptual audio coder is disclosed for encoding audio signals, such as speech or music, with different spectral and temporal resolutions for redundancy reduction and irrelevancy reduction. The disclosed perceptual audio coder separates the psychoacoustic model (irrelevancy reduction) from the redundancy reduction, to the extent possible. The audio signal is initially spectrally shaped using a prefilter controlled by a psychoacoustic model. The prefilter output samples are thereafter quantized and coded to minimize the mean square error (MSE) across the spectrum. The disclosed perceptual audio coder can use fixed quantizer step-sizes, since spectral shaping is performed by the pre-filter prior to quantization and coding. The disclosed pre-filter and post-filter support the appropriate frequency dependent temporal and spectral resolution for irrelevancy reduction. A filter structure based on a frequency-warping technique is used that allows filter design based on a non-linear frequency scale. The characteristics of the pre-filter may be adapted to the masked thresholds (as generated by the psychoacoustic model), using techniques known from speech coding, where linear-predictive coefficient (LPC) filter parameters are used to model the spectral envelope of the speech signal. Likewise, the filter coefficients may be efficiently transmitted to the decoder for use by the post-filter using well-established techniques from speech coding, such as an LSP (line spectral pairs) representation, temporal interpolation, or vector quantization. <IMAGE>

en

Perceptual coding of audio signals using separated irrelevancy reduction and redundancy reduction

56803969_US

381785_DE,56744224_US

G10L 19/02

2019-02-14

N

A symbol string generator that, when a first symbol string x representing a sentence is inputted, generates, via a pre-learned neural network, a second symbol string y that accords with a prescribed purpose that corresponds to the sentence, wherein the symbol string generator is characterized in that: the neural network has an encoding unit that converts elements xi of the inputted first symbol string x to a first hidden state, an attention mechanism unit that applies a weighting to the first hidden state and outputs the weighted first hidden state as a second hidden state, a decoding unit that outputs a third hidden state on the basis of the tth element xt of the first symbol string x, the t-1th element yt-1} of the second symbol string y, and the second hidden state, and an output unit that generates the tth element yt of the second symbol string y on the basis of the second hidden state and the third hidden state and outputs the generated element yt; the attention mechanism unit calculates each of first probabilities Pparent (xj}|xt,x) that the parent of an element xt included in the first symbol string x is an element xj other than the element xt in a dependency structure tree that corresponds to the sentence, calculates, using the calculated first probabilities Pparent (xj}|xt,x), each of second probabilities αd,t,j that the dth order parent of the element xt is a term xj other than the element xt, and outputs γd,t derived by weighting the first hidden state using the calculated second probabilities αd,t j, as the second hidden state.

en

SYMBOL STRING GENERATOR, SENTENCE COMPACTION DEVICE, SYMBOL STRING GENERATION METHOD, AND PROGRAM

68042934_JP

73784609_JP,74297189_JP,74118192_JP

G06F 16/00,G06F 16/30,G06F 40/20,G06F 40/284,G06F 40/30,G06F 40/47,G06F 40/56,G06N 3/04,G06N 3/0445,G06N 3/0454,G06N 3/08

2019-05-08

N

The present invention relates to the field of neurological assessments and, in particular, to the assessment of Information Processing Speed in the context of drug research and development, diagnostics and patient and health care management. More specifically, it pertains to a computer-implemented method for automatically assessing information processing speed in a test subject comprising the steps of determining at least one first qualimetric activity parameter for sensorial transmission, cognition and motoric output activity and at least one second qualimetric activity parameter for sensorial transmission and motoric output activity in a preexisting dataset of cognitive oculomotor activity measurements obtained from said test subject, determining at least one third qualimetric activity parameter for cognition by comparing the said first and the said second qualimetric activity parameter to each other, and assessing the information processing speed in a subject based on the at least one first, second and third qualimetric activity parameter. The present invention further contemplates a method for determining cognitive impairment in a subject suspected to suffer therefrom comprising determining information processing speed, and determining the cognitive impairment based on the determined information processing speed. The invention also provides for a mobile device or system for carrying out the methods of the invention as well as the use of said mobile device or system for assessing information processing speed and/or cognitive impairment.

en

DIGITAL QUALIMETRIC BIOMARKERS FOR DETERMINING INFORMATION PROCESSING SPEED

7641906_CH,5316242_US

57434705_CH,71107450_CH,57612364_CH,57230803_CH,57635983_CH

A61B 5/1124,A61B 5/162,A61B 5/4082,A61B 5/4088,A61B 5/7475,G16H 20/70,G16H 50/20,G16H 50/30

1987-07-27

Y

PCT No. PCT/EP86/00674 Sec. 371 Date Jul. 27, 1987 Sec. 102(e) Date Jul. 27, 1987 PCT Filed Nov. 22, 1986 PCT Pub. No. WO87/03474 PCT Pub. Date Jun. 18, 1987.Oxidative hair dye composition based on 4-amino-2-aminomethyl-phenols of the general formula (I) <IMAGE> (I) or its salts as developer substances, wherein R1 and R2 represent independently of one another hydrogen, alkyl, hydroxyalkyl, aminoalkyl, mono- or dialkylaminoalkyl, acylaminoalkyl, aryl- or alkylsulfonylaminoalkyl, carbamindoalkyl, acyl, aryl - or alkylsulfonyl or carbomoyl-wherein the alkyl radical has 1 to 4 carbon atoms in each case-or a heterocyclic, non-aromatic five- or six-membered ring is formed by means of R1 and R2 which can have an oxo group in addition. The subject matter of the application is also the new developer substances of the general formula (XII) <IMAGE> (XII) wherein Ra equals hydrogen, alkyl, hydroxyalkyl, aminoalky, mono- or dialkylaminoalky, acylaminoalkyl, aryl- or alkylsulfonylaminoalkyl, carbamoyl, carbamido-alkyl, acyl, aryl- or alkylsulfonyl-wherein the alkyl radicals have 1 to 4 carbon atoms in each instance-and Rb equals aminoalkyl, mono- or dialkylaminoalkyl, acylaminoalkyl, aryl- or alkylsulfonylaminoalkyl, carboamoyl, carbamidoalkyl, acyl, aryl- or alkylsulfonyl-wherein the alkyl radicals have 1 to 4 carbon atoms in each instance. The developer substances of the formula (I), while having equally good dyeing behavior, have properties which are better physiologically than the p-aminophenol chiefly used previously for colorings in the red area.

en

Oxidative hair dye composition based on 4-amino-2-aminomethyl-phenols

5235800_DE

5290749_DE,5252031_DE

A61K 8/415,A61Q 5/10,C07D 263/22

2013-09-05

N

The present invention corrects estimation results of uncomfortable loudness level estimation that is based on brain waves, and implements safer hearing aid adjustment. An uncomfortable loudness level evaluation system sequentially presents each of a plurality of sound stimuli groups to a user. The sound stimuli groups include at least one sound stimulus, and the frequencies of the sound stimuli groups are different from each other. The system is provided with: an extraction unit for extracting, for each sound stimulus group, information related to an event-related electric potential from a brain wave signal of a user in a predetermined interval in which the presentation time of at least one sound stimulus is established as a starting point; an estimation unit for estimating the uncomfortable loudness level for the user from the information related to the event-related electric potential with reference to a preset standard; and a correction unit for assessing whether the estimated uncomfortable loudness level is higher than a preset maximum uncomfortable loudness level or equal to or less than the maximum uncomfortable loudness level, and correcting each of the uncomfortable loudness levels assessed to be higher than a maximum sound pressure to a sound pressure equal to or less than the maximum uncomfortable loudness level when the ratio of uncomfortable loudness levels assessed to be higher than the maximum uncomfortable loudness level among the determination results for all of the sound stimuli groups is less than a predetermined ratio.

en

UNCOMFORTABLE LOUDNESS LEVEL EVALUATION SYSTEM, UNCOMFORTABLE LOUDNESS LEVEL EVALUATION DEVICE, UNCOMFORTABLE LOUDNESS LEVEL ADJUSTMENT DEVICE, UNCOMFORTABLE LOUDNESS LEVEL EVALUATION METHOD, AND COMPUTER PROGRAM THEREFOR

6156118_JP

32387539_,16041597_

A61B 5/125,A61B 5/377,A61B 5/726,H04R 25/70,H04R 29/00

2001-01-22

N

Genetic, biochemical, biophysical and anatomical information is integrated a t the subcellular, cellular, tissue and organ level. At least one database containing biological information is used to generate at least one data structure having at least one attribute associated therewith. An interface interactively views, edits or links together attributes of the data structur es to create at least one hierarchical description of subcellular, cellular, tissue and organ function. The hierarchical description may optionally be an elementary, binary or pathway data structure, or, alternatively, an anatomic al data structure capable of being modified to form a structural model. A computational engine mathematically generates at least one data structure fr om the hierarchical description. Genetic information is accessed, tabulated and combined with functional information on the biochemical and physiological ro le of gene products. Computational models of genetic, biochemical and biophysic al processes within cells and higher order systems are automatically formulated , solved and analyzed based on combination of genetic and functional informati on adduced. A dynamic tool is thereby provided for achieving discernible objectives, such as increased understanding of biological processes, identification of newdrug targets for therapeutic intervention and predictions involving the outcome of drug screening. These objectives are accomplished by the realization of highly complex nonlinear dynamic interactions that occur between each gene or gene product.

en

SYSTEM AND METHOD FOR MODELING GENETIC, BIOCHEMICAL, BIOPHYSICAL AND ANATOMICAL INFORMATION: IN SILICO CELL

12989774_US

16723391_US,12491398_US,16723389_US,16723388_US,16723390_US

G16B 5/00,G16B 50/00,G16B 50/20,Y02A 90/10

2010-04-27

N

A method for assessing a neuropsychiatric condition (such as, but not limited to, a risk that a subject may attempt to commit suicide or repeat an attempt to commit suicide, a risk that terminally ill patient is not being care-for or treated according to the patient's true wishes, a risk that a subject may perform or repeat a criminal act and/or a harmful act, a risk of the subject having a psychiatric illness, and/or a risk of a subject feigning a psychiatric illness) may include a plurality of steps. A step may include receiving biomarker data associated from an analysis of the subject's biological sample and a step of receiving thought-marker data obtained pertaining to one or more of the subject's recorded thoughts, spoken words, transcribed speech, and writings. A step may include generating a biomarker score associated with the neuropsychiatric condition from the biomarker data. A step may include generating a thought-marker score associated with the neuropsychiatric condition from the thought-marker data. And a step may involve calculating a neuropsychiatric condition score based, at least in part, upon the biomarker score and the thought- marker score. Such method may be operating from one or more memory devices including computer-readable instructions configured to instruct a computerized system to perform the method, and the method may be operating on a computerized system including one or more computer servers (or other available devices) accessible over a computer network such as the Internet or over some other data network.

en

COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR ASSESSING A NEUROPSYCHIATRIC CONDITION OF A HUMAN SUBJECT

39815287_US,42042718_US,12490309_US,12509153_US,16941734_US,42042720_US,42042719_US

16941734_US,42042719_US,12490309_US,39815287_US,42042718_US,42042720_US

G06N 20/00,G16H 50/20,G16H 50/30,G16Z 99/00

1987-12-01

Y

Apparatus and method for modelling differential pulse code modulation (DPCM) input data for entropy coding. In particular, the sign and magnitude of one piece of DPCM data after another are modelled to provide a magnitude state input and a sign state input to provide context for DPCM magnitude input and DPCM sign input, respectively, to an entropy encoder or decoder. That is, the DPCM magnitudes of earlier pieces of (context) DPCM magnitude data are re-mapped for each such earlier piece of data, the re-mapped data being aggregated to form a combined value indicative of the magnitude state input. Similarly, the DPCM signs of earlier pieces of (context) DPCM sign data are re-mapped for each such earlier piece of data, the re-mapped data being aggregated to form a combined value indicative of the sign state input. In an image data compression system, the magnitude state input serves as an activity indicator for picture elements (pixels) neighboring a 'subject' pixel. According to the invention, the DPCM signal is derived from a difference value calculated by subtracting one of a plurality of predictor values from the graylevel value X of the subject pixel. The selection of predictor value P is based on the value of the magnitude state (activity indicator). In addition, the difference value is subject to adaptive quantization in which one of a plurality of quantizers is employed in assigning the (X-P) difference value to a quantization level. The selection of quantizers is also based on the value of the magnitude state (activity indicator).

en

Adaptive graylevel image compression system.

11589_US

2628700_US,2628698_US,2628699_US

H04N 19/124,H04N 19/50,H04N 19/593

2001-11-10

N

An artificially intelligent dual real-time monitoring and measurement device that includes stimulating, recording, transdermal pharmacological delivery electrodes, a differential amplifier, A/D converter, digital filtering, digital signal processor and software for measurement, display and storage of analog data in a personal digital computer monitoring device; the portable biofeedback monitor, can accurately monitor the onset of chemical and/or physical irritation and has visual, audible and vibratory alerts, windows compatible menu driven software, 25 biofeedback displays including bar graphs, power spectra analysis, wave form display and multi-color strobe lights. The most novel attribute of the RT/BIOCAPSIONS biofeedback monitor is that it can be used as a tool to counter terrorism. My invention represents a positive solution to alleviate panic over the threat of biological-chemical-physical terrorism while at the same time offering a mass early medical surveillance & intervention strategy to address the urgent national need for biochemical counter-terrorism strategies. This invention performs determinations and displays expressions of Human BIOCAPSIONS receptive fields and biosensors, analog feature node expression, pattern constant processing, pattern-directed retrieval, connectivity, matching, recognition, variability, classification, pattern-directed modulation, pattern-directed interfacing, stimulus-equivalence reconciliation, bio-feature detection and association and any and all embodiments within the scope of the invention.

en

Real-time biological-chemical-physical sensitivity and irritation onset neuro sensory (BIOCAPSIONS) biofeedback monitor

37190369_

37276951_US

A61B 5/377,A61B 5/411,A61B 5/4266,A61B 5/442,A61B 5/4839,A61B 5/486,A61B 5/7264,A61B 5/7275

2019-04-05

N

The present invention relates to a method and system for knowledge-based assessment of dependency relation network distinctiveness and, more specifically, to a method and system for assessing dependency relation network distinctiveness, whereby, in a simulation to research genetic interrelation by using the assessment of dependency relation network distinctiveness of a gene set, time for the simulation can be reduced and the accuracy of simulation results can be improved, on the basis of existing knowledge. The disclosed method comprises the steps of: receiving a gene set containing a plurality of genes configured to be under a plurality of conditions; assessing each of the genes as a discrete random variable; selecting dependency network structures without certain genetic interrelations from network structures included in data on interrelations between genes, among all the plurality of dependency network structures constructible with the plurality of genes, for each of the conditions; calculating probability distributions of the selected dependency network structures for each of the conditions; calculating overall dependency relation network distinctiveness between the genes in the configured target gene set across the plurality of conditions, by calculating differences between the probability distributions of each of the network structures; and identifying a plurality of biological functions and pathways expressing genetic relations across the plurality of conditions, by using the overall dependency relation network distinctiveness.

en

METHOD AND SYSTEM FOR KNOWLEDGE-BASED ASSESSMENT OF DEPENDENCY RELATION NETWORK DISTINCTIVENESS

68565100_KR

68565100_KR

G16B 5/00,G16B 20/00,G16B 40/00

1988-02-05

Y

A computer method is disclosed for analyzing text by employing a model known as a paradigm, that provides all the inflectional forms of a word. A file structure is created consisting of two components, a list of words (a dictionary), each word of which is associated with a set of paradigm references, and the file of paradigms consisting of grammatical categories paired with their corresponding ending or affix portions (known as the desinence) specifying tense, mood, number, gender or other linguistic attribute. A computer method is disclosed for generating the file structure of the dictionary by generating all forms of the words from a list of standard forms of the words (known as the lemma) which is generally the infinitive of a verb of the singular form of a noun, the lemmas being generated with their corresponding paradigms. The method sorts and organizes the resulting word list into a dictionary. An input data stream of natural language words can then be processed by generating a lemma for each input word. The specific grammatical form of an input word can be generated from the standard form of the word (the lemma) and the grammatical category, by matching the lemma against the dictionary and using its paradigm references to access a set of paradigms. Then the desinences of the paradigms are matched against the lemma and the desinence corresponding to the specified grammatical category is selected. The specific grammatical form is generated by replacing the desinence of the lemma with the desinence of the desired grammatical form.

en

Paradigm-based morphological text analysis for natural languages.

11589_US

2624671_US

G06F 40/247,G06F 40/253,Y10S 707/99943

1991-12-10

Y

The invention relates to a sensor element made of thin film components and fiber glass, and a support structure (7) made of fiber glass; when the sensor elements are attached to the support structure (7), a sensor system suitable for magnetoencephalographic measurements is formed. A substrate containing a planar signal coil and a SQUID is attached on a circuit board made of fiber glass using a spring cut on the edge of the body plate. On the sensor element, there is a small but mechanically stable connector or several such connectors (5); when the sensor element is plugged in the receptacles (6) on the support structure (7), the element settles in a well defined orientation. The support structure (7) is made of a fiber glass shell following the shape of the bottom (10) dewar vessel, adapted to the shape of the head. The receptacles (6) are attached to the glass fiber shell by means of springs (9) made of thin fiber glass plate in such a way that an array covering the whole skull as evenly as possible is formed when the sensor elements are plugged to the receptacles (6). The spring is cut in a way to enable rotation only around an arbitrary axis in the plane of the spring and a translation only in a direction perpendicular to the plane of the spring. When this support structure is inserted in the dewar, the individual sensor elements lean against the dewar bottom (10) by aid of three feet (11), pressed by springs (9), settling perpendicularly to the normal of the dewar bottom passing through the center of the sensor element. <IMAGE>

en

Magnetometer probe for measuring of magnetic fields arising from the activity of the brain.

3024360_FI

3019347_FI,3024356_FI,3024359_FI,3004370_FI

A61B 5/245,Y10S 505/846

2021-07-06

N

The invention discloses an intelligent interference detection method based on time-frequency semantic perception, and belongs to the field of signal processing, and the basic idea for realizing the intelligent interference detection method is as follows: firstly, converting an original echo signal carrying interference into a time-frequency domain by using short-time Fourier transform, then establishing a U-net semantic segmentation network, and extracting image features by using a convolutional layer; restoring the size of an original image at a decoding part by using an up-sampling layer, so that labels are conveniently compared pixel by pixel to determine a threshold value; fusing low-layer information of a coding part and high-layer information of a decoding part by a splicing layer, and making up details and edge information lost along with network deepening, so that fine segmentation under a small sample is realized; on this basis, training the model, carrying out interference and background identification on other data sets, to verify the segmentation effect of the model. Segmentation thresholds are divided autonomously by means of deep learning, and interference and background segmentation and recognition are intelligently realized; meanwhile, due to the fact that the U-net network with a small model is adopted, the number of training sets needed for feature extraction is reduced, and the purpose that a good segmentation effect can be achieved on interference detection application only through few training sets is achieved.

en

Intelligent interference detection method based on time-frequency semantic perception

59751398_

72895380_,73589902_,58729990_,65265201_,59379351_,65582926_,64802288_,63753014_,63294120_,78162484_,65026291_,60300663_,65788814_

G06N 3/0454,G06N 3/08,G06T 7/194,G06T2207/10044,G06T2207/20056,G06T2207/20081,G06T2207/20084

2000-10-13

N

A language input architecture converts input strings of phonetic text (e.g., Chinese Pinyin) to an output string of language text (e.g., Chinese Hanzi) in a manner that minimizes typographical errors and conversion errors that occur during conversion from the phonetic text to the language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. Each typing model is trained on real data, and learns probabilities of typing errors. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The probable typing candidates may be stored in a database. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string. The search engine combines the probabilities of the typing and language models to find the most probable conversion string that represents a converted form of the input string. By generating typing candidates and then using the associated conversion strings to replace the input string, the architecture eliminates many common typographical errors. When multiple typing models are employed, the architecture can automatically distinguish among multiple languages without requiring mode switching for entry of the different languages.

en

LANGUAGE INPUT ARCHITECTURE FOR CONVERTING ONE TEXT FORM TO ANOTHER TEXT FORM WITH MODELESS ENTRY

5249410_US

36995329_,29356776_,13574794_

G06F 40/216,G06F 40/232,G06F 40/289,G06F 40/53

2016-12-16

Y

According to an embodiment, a system for acquiring ECAP recordings at a later session for a cochlear implant patient is disclosed. The system includes a receiving unit configured to receive, corresponding to an electrode, a stored prior individual value from a plurality of stored 5 prior individual values of ECAP/ an ECAP prior growth function, the plurality of stored prior individual values or the ECAP prior growth function being obtained at a previous session. Furthermore, a processing unit configured to process the received prior individual value/ ECAP growth function to determine a stimulus signal value corresponding to the received individual value/ a selected point on the ECAP prior growth function, instruct a signal delivery unit to 10 provide to the electrode a first stimulus signal comprising a first level that is same or above said stimulus signal value, and determine a resulting ECAP generated in response to said first stimulus signal. (Figure 3 to be published) Receive stored ECAP growth 2 function for electrode i Determine corresponding stimulus signal threshold 25 value 29 Chose a first stimulus level Receive the corresponding above the stimulus signal ECAP (= ECAP1) from the 26 threshold value stored ECAP growth function Provide the chosen first 27 stimulus signal to electrode i Determine the resulting evoked compound action potential Compare ECAP2 with ECAP1 No |ECAP2|E|ECAP1 ±AECAP1|? Go to A Yes ECAP for electrode i considered 3 2< stable Proceed to next electrode until all electrodes have been 33 checked Fig. 4A

en

Method and System for Rapid Acquisition of Evoked Compound Action Potential Recordings

44055600_DK

15022606_

A61B 5/316,A61B 5/38,A61B 5/6867,A61B 5/7203,A61B 5/7225,A61B 5/7235,A61B 5/725,A61N 1/0541,A61N 1/36039

2000-03-10

N

Systems (10) and methods (40) for determining the position and classification of an object (13) and which may provide signals that control deployment of an active restraint device, for example. Using a pulsed laser light beam (21a) from a laser source (20) that is spread and preferably diffused to avoid ocular damage, an interference pattern is returned to a sensing module (22) through a spectral filter (31). There it is optionally combined with a reference beam from the laser source, modified (25) to emulate coherence length effects, and incident upon a phase transmission holographic template (30) that may be segmented into regions for example. Each region of the holographic template contains Fourier transform images of occupant types. Behind the holographic template is a detector array (33) that is sensitive to the laser light. An interference pattern derived from the object is convoluted or cross-correlated with the template. When an match occurs, a bright spot appears on the detector array. The location of this spot within the region contains position information. The relative brightness and location of spots within each region provide information relative to their classification. Using fuzzy logic, neural networks, or an algebraic algorithm, this information is decoded, and a decision made as to the type and location of the object. With this information, a deployment algorithm for the active restraint device, in conjunction with other information, can make the appropriate choice on whether or not to deploy the device. <IMAGE>

en

Holographic object position and type sensing system and method

5371_US

826922_US,826921_US

B60R 21/01534,B60R 21/01538,G03H2001/0066,G06V 10/895,G06V 40/10

2020-09-16

N

Disclosed herein is a biomolecular detection device (1) for analyzing a cell, vesicle or a cellular or vesicular component, comprising an evanescent illuminator with an optical coupling unit configured for generating an evanescent field from coherent light (L) with a predefined wavelength on a first surface of the evanescent illuminator. The first surface of evanescent illuminator comprises a template nanopattern (5), containing a coherent arrangement of a plurality of predetermined lines along which membrane recognition elements for a binder structure (82) of a transmembrane protein (81), preferably a laterally diffusible transmembrane protein, of the cell, vesicle or the cellular or vesicular component (8) are arranged. The membrane recognition elements (53) are configured to bind the binder structure (82) of the transmembrane protein (81) for forming a transmembrane nanopattern within the cell, vesicle or the cellular or vesicular component (8) based on the template nanopattern (5) of the evanescent illuminator, such that light of the evanescent field is scattered by the cell, vesicle or the cellular or vesicular component (8) bound to the membrane recognition elements (53). The predetermined lines are arranged such that light scattered by the cell, vesicle or cellular or vesicular components (8) bound to the membrane recognition elements (53) constructively interferes at a predefined detection site (7) with a difference in optical path length that is an integer multiple of the predefined wavelength of the coherent light (L).

en

BIOMOLECULAR DETECTION DEVICE

47515594_CH,7641906_CH,5316242_US

81364158_CH,52802830_CH,81181520_CH,13441711_CH,17699117_CH

G01N 21/7743,G01N 33/543

2020-11-27

N

Provided are a noninvasive acoustic-electric stimulation neuromodulation method and apparatus combining electroencephalogram objective testing, analysis, feedback and control. The apparatus comprises: an electroencephalogram testing and signal processing and analysis system (2), an intelligent diagnosis and therapy control system (1), an acoustic stimulation therapy system (4), a transcranial electrical pulse stimulation therapy system (3) and a cognitive behavior psychotherapy system (5). Electroencephalogram testing of a plurality of brain functional regions of a human body is performed before, during and after noninvasive acoustic stimulation and/or electrical pulse stimulation and/or cognitive psychotherapy; and a correlation model including a therapeutic effect evaluation is established by means of electroencephalogram signal collection, real-time electroencephalogram spatio-temporal modeling and objective analysis of characteristic parameters of a neural network, thereby realizing a closed loop of testing, analysis, feedback, therapy and modulation. According to the method and the apparatus, a tracking, objective evaluation and prediction method for the effects of neuromodulation therapy over multiple courses or multiple sessions can be formed, and according to the expected therapeutic effects, a subsequent method for therapeutic schedule implementation and scheme parameter selection is qualitatively and quantitatively modulated and optimized, and a neurological function state can be objectively evaluated and predicted.

en

ACOUSTIC-ELECTRIC STIMULATION NEUROMODULATION THERAPY AND APPARATUS COMBINING ELECTROENCEPHALOGRAM TESTING, ANALYSIS AND CONTROL

83148236_CN

83045257_CN,82645545_CN

A61M 21/00,A61M2021/0027,A61M2230/10,A61N 1/36025,A61N 1/36031,G06K 9/0051,G06K 9/00523,G06K 9/00536,G16H 20/40,G16H 20/70

2018-11-26

N

Provided is a system for early screening of children at risk of developing a mental illness in the future. This early screening system for children's mental illness risk is characterized by being provided with: an information acceptance unit for accepting sex information and eight T scores for Withdrawn (Ti), Somatic Complaints (Tii), Anxious/Depressed (Tiii), Social Problems (Tiv), Thought Problems (Tv), Attention Problems (Tvi), Delinquent Behavior (Tvii), and Aggressive Behavior (Tviii) as determined using the CBCL (4-18) or eight T scores for Anxious/Depressed (Ti), Withdrawn/Depressed (Tii), Somatic Complaints (Tiii), Social Problems (Tiv), Thought Problems (Tv), Attention Problems (Tvi), Rule-breaking Behavior (Tvii), and Aggressive Behavior (Tviii) as determined using the CBCL (6-18); and a calculation unit which calculates a z value by substituting the sex information and the eight T scores in equation 1 below (if the eight T scores are determined using the CBCL [4-18]) or in equation 2 below (if the eight T scores are determined using the CBCL [6-18]), and calculates a possibility p of developing a mental illness in the future on the basis of the z value and equation 3 below. [equation 1] z= -6.593 + 0.121 × Ti - 0.063 × Tii + 0.333 × Tiii + 0.045 × Tiv + 0.286 × Tv + 0.122 × Tvi - 0.011 × Tii - 0.448 × Tviii + 0.446 × sex (female = 1, male = 0) [equation 2] z = - 6.593 + 0.121 × Tii - 0.063 × Tiii + 0.333 × Ti + 0.045 × Tiv + 0.286 × Tv + 0.122 × Tvi - 0.011 × Tvii - 0.448 × Tiii + 0.446 × sex (female = 1, male = 0)

en

EARLY SCREENING SYSTEM FOR CHILDREN'S MENTAL ILLNESS RISK

71309531_JP,72018808_JP

72018808_JP,71309531_JP

A61B 10/00,G06Q 10/04

1988-12-13

Y

In artificial intelligence, a method is provided for representing a directed acyclic graph of worlds using an assumption-based truth maintenance system (ATMS) as a tool. The invention introduces the concepts of a nondeletion assumption and a deletion nogood, in order to allow deletion of an assertion upon transition between worlds. The traditional (de Kleer) ATMS tool is augmented to allow distinction between two kinds of assumptions, namely the nondeletion assumption and the world assumption. The nondeletion assumption is the elementary stipulation indicating the presence of an added assertion in a world. The world assumption is the elementary stipulation representing existence of a world. According to the invention, a method for testing assertions is provided for determining whether an assertion holds in a world. The method involves taking into account the presence of deletion nogoods relevant to the tested assertion. A deletion nogood is a nogood which indicates the contradiction between a world assumption and a nondeletion assumption which arises from a deletion of an assertion. Deletion nogoods are introduced at a world to block any further inheritance of an assertion from an ancestor world. The ATMS tool is further modified by replacing the traditional ATMS notion of inconsistency with a concept of inconsistency wherein only world assumptions are blamed for inconsistencies. The present invention may be used in connection with planning systems and diagnosis systems as well as with other types of knowledge-based systems.

en

Method for representing a directed acyclic graph of worlds using an assumption-based truth maintenance system

5854346_US

7349372_US,7349371_US

G06N 5/00

1997-09-05

N

It has been discovered that the stimulation of .beta.-adrenergic receptors, which activate cAMP formation, give rise to increased APP and GFAP synthesis in astrocytes. Hence, the in vitro or in vivo exposure of neuronal cells to certain compositions comprising .beta.-adrenergic receptor ligands or agonists, including, e.g., norepinephrine, isoproterenol and the like, increases APP mRNA transcription and consequent APP overproduction. These increases are blocked by .beta.-adrenergic receptor antagonists, such as propranolol. The in vitro or in vivo treatment of these cells with 8Br-cAMP, prostaglandin E2 (PG E2), forskolin, and nicotine ditartrate also increased APP synthesis, including an increase in mRNA and holoprotein levels, as well as an increase in the expression of glial fibrillary acidic protein (GFAP). Compositions and methods are disclosed of regulating APP overexpression and mediating reactive astrogliosis through cAMP signaling or the activation of .beta.-adrenergic receptors. It has further beenfound that the increase in APP synthesis caused by 8Br-cAMP, PG E2, forskolin, or nicotine ditartrate is inhibited by immunosuppressants or anti-inflammatory agents, such as cyclosporin A, and FK-506 (tacrolimus), as well as ion-channel modulators, including ion chelating agents such as EGTA, or calcium/calmodulin kinase inhibitors, such as KN93. The present invention has broad implications in the alleviation, treatment, or prevention of neurological disorders and neurodegenerative diseases, including Alzheimer's Disease.

en

COMPOSITIONS AND METHODS FOR TREATMENT OF NEUROLOGICAL DISORDERS AND NEURODEGENERATIVE DISEASES

5298000_US

9963923_US,16606345_US

A61K 31/00,A61K 31/05,A61K 31/137,A61K 31/18,A61K 31/198,A61K 31/34,A61K 31/365,A61K 31/436,A61K 31/465,A61K 31/5383,A61K 31/5575,A61K 31/7076,A61K 38/13,A61K 38/193,Y10S 514/878,Y10S 514/879

2017-03-07

Y

Diagnosing disease state within image, using Computer-Assisted Diagnosis (CAD) system, comprising: training the system with set of training data images, comprising image features, the image features associated with known classes, and classes associated with predetermined possible clinical actions; determining cost function of weighted error terms, and parameters, where certain parameters for certain image features are weighted due to known clinical significance in diagnosis; receiving image, comprising image features; using system to give specific clinical action by extracting image feature and applying weighted cost function to identify class. Diagnosing disease state within image, using Computer-Assisted Diagnosis system, comprising: acquiring image; identifying region of interest (ROI) within image; using CAD system, configured to recommend clinical action based on minimisation of discrepancies between evidence based action and recommended action by another system for specific users. Clinical action may provide diagnostic category associated with biopsy. Weighted error terms may correspond to errors from: specific operators; institution; locale; workflow position; aggregation of errors made by number of operators. Classifier may comprise: neural networks; support vector machines; naïve Bayes classifier; genetic programming; reinforcement learning; deep neural networks. Embodiment: diagnosing breast cancer, using mammograms, with Breast Imaging Reporting and Data System (BI-RADS) categories, avoiding unnecessary biopsies.

en

Method and means of CAD system personalization to reduce intraoperator and interoperator variation

72025105_US

56424565_US,56584736_US,85075121_US,56571032_US,56466162_US

A61B 5/00,G06F 16/583,G06F 19/321,G06F 19/3456,G06F 19/3481,G06K 9/6232,G06K 9/6278,G06T 7/0012,G06T 7/11,G06T2207/20081,G06T2207/30068,G06T2207/30096,G06V 10/764,G06V 10/7715,G16H 20/00,G16H 30/20

2015-08-26

N

The present invention relates to a method for assessment of a state of the central nervous system (CNS) of a subject and/or differentiation between states of the central nervous system (CNS) of a subject at a specific time point based on electrophysiological recordings of signals from at least two anatomical structures, wherein the signals are recorded from recording sites located in the anatomical structures, wherein the electrophysiological recordings comprise spatiotemporal fluctuations in the recorded extracellular potential, wherein the electrophysiological recordings are action potentials and/or local field potentials (LFPs) in the anatomical structures and represent the state of the CNS at said specific timepoint. The present invention further relates to the use of the method for assessment of a state of the CNS and/or differentiation of at least two states of the CNS, as well as to the use of the method for evaluating the effect of a treatment of a condition or disease, wherein the condition or disease is neurological and/or psychiatric. The invention also relates to a system for assessment of a state of the central nervous system (CNS) of a subject and/or differentiation between states of the central nervous system (CNS) and to the use of such system for assessment of a state of the CNS and/or differentiation of at least two states of the CNS, as well as to the use of such systems for evaluating the effect of a treatment of a condition or disease, wherein the condition or disease is neurological and/or psychiatric.

en

SYSTEMS LEVEL STATE CHARACTERISTICS IN EXPERIMENTAL TREATMENT OF DISEASE

52968411_SE

52968411_SE,53036680_SE

A61B 5/316,A61B 5/377,A61B 5/4064,A61B 5/4082,A61B 5/4088,A61B 5/725,A61B 5/7257,A61B 5/7275,A61B 5/7282,G16H 40/63,G16H 50/20,G16H 50/30

2016-01-19

Y

Regulated changes in gene expression underlie many biological processes, but globally profiling cell-to-cell variations in transcriptional regulation is problematic when measuring single cells. Transcriptome-wide identification of regulatory heterogeneities can be robustly achieved by randomly collecting small numbers of cells followed by statistical analysis. However, this stochastic-profiling approach blurs out the expression states of the individual cells in each pooled sample. Various aspects of the disclosure show that the underlying distribution of single-cell regulatory states can be deconvolved from stochastic-profiling data through maximum-likelihood inference. Guided by the mechanisms of transcriptional regulation, the disclosure provides mixture models for cell-to-cell regulatory heterogeneity which result in likelihood functions to infer model parameters. Inferences that validate both computationally and experimentally different mixture models, which include regulatory states for multicellular function occupied by as few as one in 40 cells of the population, are also encompassed. When the disclosed method extends to programs of heterogeneously coexpressed transcripts, the population-level inferences are much more accurate with pooled samples than with one-cell samples when the extent of sampling was limited. The disclosed deconvolution method provides a means to quantify the heterogeneous regulation of molecular states efficiently and gain a deeper understanding of the heterogeneous execution of cell decisions.

en

Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles

5219676_US

53564600_DE,72349891_US,53693162_US,53583055_DE

G16B 5/00,G16B 5/20,G16B 25/00,G16B 25/10

2016-06-22

N

The invention relates to a device for stimulating neurons, comprising - a non-invasive stimulation unit for generating stimuli in a plurality of stimulation channels, the stimulation unit being designed such that the stimuli stimulate a neuron population in the brain and/or spinal cord of a patient via the stimulation channels in different locations, and - a control unit, which controls the stimulation unit during a first time interval and during a second time interval following the first time interval in different stimulation modes. The control unit controls the stimulation unit during at least 75% of the duration of the first time interval in a first stimulation mode such that the stimulation unit repeatedly generates sequences of stimuli and the order of the stimulation channels in which stimuli are generated within a sequence is constant for not more than 5 successively generated sequences and is then varied. The control unit controls the stimulation unit during at least 75% of the duration of the second time interval in a second stimulation mode such that the stimulation unit repeatedly generates sequences of stimuli and the order of the stimulation channels in which stimuli are generated within a sequence is constant for at least 25 successively generated sequences and is then varied. The intensity of stimuli in the first stimulation mode is lower than or equal to a predetermined stimulus intensity and the intensity of stimuli in the second stimulation mode is at least 1.3 times the predetermined stimulus intensity.

en

DEVICE AND METHOD FOR EFFECTIVE NON-INVASIVE TWO-STAGE NEUROSTIMULATION

7501357_DE

52931047_NL,41625658_DE

A61B 5/0531,A61B 5/0533,A61B 5/1101,A61B 5/369,A61B 5/389,A61B 5/4035,A61B 5/4064,A61B 5/4082,A61B 5/4088,A61B 5/4094,A61B 5/4836,A61B 5/686,A61B 5/6868,A61B2562/0219,A61M 21/02,A61M2021/0022,A61M2021/0027,A61M2021/0044,A61M2021/0055,A61M2021/0066,A61M2021/0072,A61M2230/10,A61M2230/60,A61N 1/36014,A61N 1/36021,A61N 1/36025,A61N 1/36031,A61N 1/36034,A61N 1/36064,A61N 1/36067,A61N 1/36082,A61N 1/361,A61N 1/36103,A61N 1/36139,A61N 1/36175,A61N 1/36178,A61N 2/002,A61N 2/006,A61N 2/02

1985-05-20

Y

An infrared touch input system is taught. Briefly stated, the system comprises a four-sided frame having an infrared transparent bezel (20) along the inside thereof and having infrared emitters (CR) along the bottom and one side of the frame with infrared detectors (Q) along the sides opposite the emitters. Darlington transistor arrays (U3, U4, U8, U9) are used as source and sink drivers for driving the LED's in an array. The l/O lines of a microprocessor (U2) in conjunction with the source and sink drivers are used to selectively energize each LED. Additional l/O lines (PB0-PB5, PC0-PC2) of the microprocessor in conjunction with BCD decoders are used to selectively energize corresponding infrared detecting phototransistors (Q) before, during and after LED turn-on. A host computer supplies a clocking signal for the microprocessor with programming in the microprocessor thereby automatically performing the selection and deselection of emitters and detectors. A serial data stream (DATA) is outputted from the microprocessor which indicates to the host computer the location of any broken light beams (22) thereby indicating a stylus (18) hit. Further, the optical power used with emitter-detector pairs (CR0-CR7, Q0-Q7) adjacent the corners of the bezel (20) is reduced with respect to emitter-detector pairs approaching the center of the bezel. In this manner, light which is reflected (26) after striking the side of the bezel adjacent the emitter-detector pair and which is received by the emitter is of low intensity or is ignored.

en

TOUCH INPUT DEVICE

7555191_US

37510725_US,37510724_US

G06F 3/02,G06F 3/0421,G06K 11/06

2013-06-13

N

A method of controlling a mobile or stationary terminal comprising of the steps of one of multiple ways for 3D sensing a hand or face, recognizing the visual command input by trained hardware that does not incorporate instruction based programming and then causing some useful function to be performed by the recognized gesture on the terminal. This method is to enhance gross body gesture recognition in practice today. Gross gesture recognition has been made accessible by providing accurate skeleton tracking information down to the location of a person's hands or head. Notably missing from the skeleton tracking data, however, are the detailed positions of the person's fingers or facial gestures. Recognizing the arrangement of the fingers on a person's hand or expression on his or her face has applications in recognizing gestures such as sign language, as well as user inputs that are normally done with a mouse or a button on a controller. Tracking individual fingers or the subtleties of facial expressions poses many challenges, including the resolution of the depth camera, the possibility for fingers to occlude each other, or be occluded by the hand and performing these functions within the power and performance limitations of traditional coded architectures. This unique codeless, trainable hardware method can recognize finger gestures robustly and deal with these limitations. By recognizing facial expressions, additional information like approval, disapproval, surprise, commands and other useful inputs can be incorporated.

en

METHOD AND APPARATUS FOR DOING HAND AND FACE GESTURE RECOGNITION USING 3D SENSORS AND HARDWARE NON-LINEAR CLASSIFIERS

45365533_US

45365536_US,45365534_US,45365535_US

G06F 3/012,G06F 3/017,G06F 3/0304

2011-07-12

Y

An embodiment of the invention relates to a system comprising an optical device (10) and an evaluation device (20) for characterizing the optical device. The optical device comprising a 90° optical hybrid unit (30) having a first and second optical input (30E1, 30E2) and at least two optical outputs (30A1-30A4) wherein optical output signals (So1-So4) leaving the optical outputs have optical phase differences between each other of 90° or multiple thereof; a first photodetector (P1) connected to a first optical output (30A1) and a second photodetector (P2) connected to a second optical output (30A2), wherein the first optical output emits a first optical output signal (So1) and the second optical output emits a second optical output signal (So2), said second optical output signal having an optical phase difference of 180° relative to the first optical output signal; and a first transimpedance amplifier (Tr1) connected to the first and second photodetectors (P1, P2). The evaluation device (20) is characterized by a signal source (110) configured to generate a first and second intensity-modulated optical input signal (Sin1, Sin2); an optical phase shifter (120) adapted to phase-shift the optical phase of the second intensity-modulated optical input signal relative to the optical phase of the first intensity-modulated optical input signal; a measurement unit (160) adapted to measure the electrical output signal of the first transimpedance amplifier (Tr1); and a control unit (130) adapted to control the optical phase shifter.

en

Method and system for characterizing an optical device

11986602_DE,11986603_DE,11772993_DE,11576117_DE

11772993_DE,11986602_DE,11986603_DE

G01M 11/00,H04B 10/60,H04B 10/64

1988-06-29

N

An identification method, applicable to the identification of animals, or inanimate objects, is described. The method takes advantage of a hithertofore unknown set of individual-specific, or IS antibodies, that are part of the unique antibody repertoire present in animals, by reacting an effective amount of IS antibodies with a particular panel, or n-dimensional array (where n is typically one or two) consisting of an effective amount of many different antigens (typically greater than one thousand), to give antibody-antigen complexes. The profile or pattern formed by the antigen-antibody complexes, termed an antibody fingerprint, when revealed by an effective amount of an appropriate detector molecule, is uniquely representative of a particular individual. The method can similarly be used to distinguish genetically, or otherwise similar individuals, or their body parts containing IS antibodies. Identification of inanimate objects, particularly security documents, is similarly affected by associating with the documents, an effective amount of a particular individuals' IS antibodies, or conversely, a particular panel of antigens, and forming antibody-antigen complexes with a particular panel of antigens, or a particular individuals' IS antibodies, respectively. One embodiment of the instant identification method, termed the blocked fingerprint assay, has applications in the area of allergy testing, autoimmune diagnostics and therapeutics, and the detection of environmental antigens such as pathogens, chemicals, and toxins.

en

INDIVIDUAL-SPECIFIC ANTIBODY IDENTIFICATION METHODS

16203214_US

16203214_US

G01N 33/543,G01N 33/56977,G01N 33/6854,G07D 7/14,Y10S 436/809,Y10S 436/828

2021-03-03

Y

Das vorliegende Gebrauchsmuster betrifft das technische Gebiet der intelligenten Wohnung, insbesondere eine intelligente Kleiderstange, umfassend einen Stützgrundrahmen und Stangenkörper auf den beiden Seiten des Stützgrundrahmens, wobei zwischen den Oberteilen der beiden Stangenkörper eine Oberstange geschaltet ist, und wobei an einem Ende der Oberstange eine Aufnahmebox angeordnet ist, in der ein Sensormodul angeordnet ist, und wobei an die beiden Seiten der Oberstange jeweils eine flügelförmige Filmentfaltungsvorrichtung durch ein Scharnier angeschlossen ist, und wobei an dem Boden der Oberstange ein Schubrahmen angeordnet ist, und wobei an dem Boden der Oberstange Haken angeordnet sind, und wobei in der Oberstange eine Stromquelle, eine Steuereinheit und ein Motor eingebettet sind, und wobei die Steuereinheit mit dem Sensormodul und dem Motor elektrisch verbunden ist, und wobei die Stromquelle die gesamte Kleiderstange mit Strom versorgt, und wobei die rotierende Welle des Motors in der Oberstange durch das Zahnrad eine Übertragung mit dem ersten Zahnrad der flügelförmigen Filmentfaltungsvorrichtung und dem zweiten Zahnrad des Schubrahmens durchführt. Das vorliegende Gebrauchsmuster hat die Auswirkungen von Regenschutz, Windschutz und Belichtungsschutz und weist eine einfache Struktur auf, bei der Realisierung entsprechender Funktionen ist keine manuelle Bedienung benötigt, um die intelligente Automatisierung zu realisieren und das Problem des unzureichenden Schutzes der Kleidung beim Ausgehen des Benutzers zu lösen.

en

Intelligente Kleiderstange

18380250_CN

85615590_CN,19693635_CN,18251862_CN

D06F 57/00,D06F 57/08

2014-03-06

Y

Computer-implemented systems and methods are provided for automatically scoring the content of moderately predictable responses. For example, a computer performing the content scoring analysis can receive a response (either in text or spoken form) to a prompt. The computer can determine the content correctness of the response by analyzing one or more content features. One of the content features is analyzed by applying one or more regular expressions, determined based on training responses associated with the prompt. Another content feature is analyzed by applying one or more context free grammars, determined based on training responses associated with the prompt. Another content feature is analyzed by applying a keyword list, determined based on the test prompt eliciting the response and/or stimulus material. Another content feature is analyzed by applying one or more probabilistic n-gram models, determined based on training responses associated with the prompt. Another content feature is analyzed by comparing a POS response vector, determined based on the response, to one or more POS training vectors, determined based on training responses associated with the prompt. Another content feature is analyzed by comparing a response n-gram count to one or more training n-gram counts using an n-gram matching evaluation metric (e.g., BLEU). Another content feature is analyzed by comparing the response to one to training responses associated with the prompt using a dissimilarity metric (e.g., edit distance and word error rate).

en

Systems and methods for content scoring of spoken responses

5225669_US

45292493_US,48486928_US,5225671_US

G09B 5/00

2019-03-20

N

Provided is a polyurea copolymer having a structure represented by formula (1). In formula (1), R1 represents an alkyl group that has 1-4 carbon atoms and that may be branched, and R2 represents a hydrogen atom, an aliphatic hydrocarbon group having 1-4 carbon atoms, or an organic group represented by formula (1-1). Ra and Rb each independently represent a hydrogen atom or an aliphatic hydrocarbon group having 1 or 2 carbon atoms. X represents a divalent organic group represented by formula (S), and Y represents a divalent organic group. The black dots in formula (S) represent a point of bonding to a nitrogen atom, and R1, Ra, and Rb have the same meaning as explained above regarding formula (1). Q1 and Q2 in formula (S) are a structure represented by formula (Q1-1), a structure represented by formula (Q1-2), or a single bond. At least one of Q1 and Q2 is the structure represented by (Q1-1) or the structure represented by (Q1-2). q1 and q2 each independently represent 0 or 1, and L1 and L2 represent a hydrogen atom. When Q1 is the structure represented by formula (Q1-1), L1 and L2 may be combined and form a single bond. The black dots represent a point of bonding to a nitrogen atom. R5 in formula (Q1-1) represents a hydrogen atom, a t-butoxycarbonyl group, or an alkyl group having 1-6 carbon atoms. When R5 represents an alkyl group having 1-6 carbon atoms, R5 may be branched, form a ring, or have an unsaturated bond. E represents –NH-, -NMe-, -S-, or –O-, and F and G each independently represent CH or a nitrogen atom.

en

POLYUREA COPOLYMER, LIQUID CRYSTAL ALIGNMENT AGENT, LIQUID CRYSTAL ALIGNMENT FILM, AND LIQUID CRYSTAL DISPLAY ELEMENT USING SAME

64180590_JP

68702306_JP

C08G 18/32,C08G 18/3262,C08G 18/72,C08G 18/77,C08L 75/02,C09K 19/56,G02F 1/1337

2019-12-09

Y

The application relates to methods, computer readable media, and systems that use a local-lighting-estimation-neural network to estimate lighting parameters for specific positions within a digital scene for augmented reality. For example, based on a request to render a virtual object in a digital scene, a system uses a local-lighting-estimation-neural network to generate location-specific-lighting parameters for a designated position within the digital scene. In certain implementations, the system also renders a modified digital scene comprising the virtual object at the designated position according to the parameters. In some embodiments, the system generates such location-specific-lighting parameters to spatially vary and adapt lighting conditions for different positions within a digital scene. As requests to render a virtual object come in real (or near real) time, the system can quickly generate different location-specific-lighting parameters that accurately reflect lighting conditions at different positions within a digital scene in response to render requests. A method of training said neural network is also described. The global feature map may be modified by generating a masking feature map from the local position co-ordinates then multiplying the global feature map and the masking feature map to generate a masked-dense-feature map, concatenating the global-feature- map and the masked-dense-feature map and providing this combined map to the neural network to generate the location specific lighting parameters.

en

Dynamically estimating lighting parameters for the positions within augmented-reality scenes using a neural network

71788041_US

40277877_US,79144314_US,57567716_US,57467376_US

G06K 9/6232,G06K 9/6256,G06K 9/6274,G06N 3/0454,G06T 7/40,G06T 15/50,G06T 15/506,G06T 19/006,G06T2207/20081,G06T2207/20084,G06T2215/12,G06V 10/454,G06V 10/82,G06V 20/20

2008-02-29

N

In comparing a query sequence with a subject sequence and searching for a similar point in the subject sequence as described above, homologous search can be conducted at a higher accuracy than in the existing methods. After acquiring the sequential data of the query sequence and the subject sequence on the genome scale, these sequences are compression converted into a compressed query sequence and a compressed subject sequence by converting a homopolymer region consisting of two or more consecutive bases of a single kind into a single base of the same kind. Then, these sequences are compared with each other and partial compression subjectsequences in the compressed subject sequence agreeing with the compressed query sequence are narrowed and searched for. For the thus narrowed compressed candidate sequences and the query sequence, the consecutive numbers are compared for each base between both compressed sequences based on the data of the consecutive numbers of a single kind of bases observed in the individual uncompressed sequences. From the degree of agreement or disagreement in the consecutive numbers, a similarity showing the homology of the candidate sequence as described above to the query sequence is computed. Depending on the similarities, an arbitrary number of candidate sequences relatively highly homologous to the query sequence are ranked and selected. Thus, homologous search can be conducted at a high accuracy while avoiding the effect of the consecutive number of a single kind of bases in a homopolymer.

en

HOMOLOGOUS SEARCH SYSTEM

32587927_,32387803_JP,32587928_,32587929_

32587929_,32587928_,32587927_

G06F 16/90344,G16B 30/00,G16B 30/10

2007-12-10

Y

The present invention relates to a system for the 3-D monitoring and analysis of motion-related behavior of test subjects. The system comprises an actual camera, at least one virtual camera, a computer connected to the actual camera and the computer is preferably installed with software capable of capturing the stereo images associated with the 3-D motion-related behavior of test subjects as well as processing these acquired image frames for the 3-D motion parameters of the subjects. The system of the invention comprises hardware components as well as software components. The hardware components preferably comprise a hardware setup or configuration, a hardware-based noise elimination component, an automatic calibration device component, and a lab animal container component. The software components preferably comprise a software-based noise elimination component, a basic calibration component, an extended calibration component, a linear epipolar structure derivation component, a non-linear epipolar structure derivation component, an image segmentation component, an image correspondence detection component, a 3-D motion tracking component, a software-based target identification and tagging component, a 3-D reconstruction component, and a data post-processing component In a particularly preferred embodiment, the actual camera is a digital video camera, the virtual camera is the reflection of the actual camera in a planar reflective mirror. Therefore, the preferred system is a catadioptric stereo computer vision system.

en

System for 3D monitoring and analysis of motion behavior of targets

10622071_US,10622070_US,9877382_US,10622068_US,10622069_US

10622069_US,10622070_US,9877382_US,10622071_US

G06T 7/20,G06V 10/147,G06V 20/52

1990-11-14

Y

A method and system for enhancing reading skills whereby readers can improve both reading speed and comprehension. This novel teaching method and system associatively combines input to visual, tactile, and auditory senses. The reader is trained to conceptualize the meaning of words directly from symbols rather than from symbols and related sounds by causing the eyes to scan text more rapidly than both symbols and related sounds can be assimilated. The eyes are prompted to follow a rapidly moving finger induced to rhythmically move back-and-forth across the text at rapidly driven rates by an auditory beat. Different auditory inputs are provided to each ear, such that each hemisphere of the brain predominately receives signals which are related to its primary function. Rhythmic beats to induce higher reading rates are addressed to the left hemisphere of the brain which governs spatial relations, time, rhythm, and reading the written word. Subliminal affirmative motivational messages are concurrently addressed only to the right hemisphere of the brain which interprets the spoken word thereby minimizing conflict between the spoken subliminal affirmations and the reading of the written word. In one embodiment, rhythmic beats are mixed with the subliminal messages addressed to the right hemisphere for balance. Soothing background sounds such as recorded ocean waves are added to the auditory input to block aural interference. The auditory volume of rhythmic beats is varied periodically to reduce neural auditory adaptation.

en

Tactile enhancement method for progressively optimized reading

8368483_US

9153538_US,9153537_US

G09B 17/006,G09B 17/04

2003-09-22

N

Fragment pairs of a Class A beta-lactamase (TEM-1 of E. coli) are disclosed that depend for their functional reassembly into the parent protein on the interaction of heterologous polypeptides or other molecules which have been genetically or chemically conjugated to the break-point termini of the fragment pairs. In addition, methods are provided for identifying fragment pairs that will optimally reassemble into a functional parent protein. Fragment pairs that comprise molecular interaction-dependent enzymes find use in (1) homogeneous assays and biosensors for any analyte having two or more independent binding sites, (2) tissue-localized activation of therapeutic and imaging reagents in vivo for early detection and treatment of cancer, chronic inflammation, atherosclerosis, amyloidosis, infection, transplant rejection, and other pathologies, (3 cell-based sensors for activation or inhibition of metabolic or signal transduction pathways for high-efficiency, high-throughput screening for agonists/antagonists of the target pathway, (4) high-throughput mapping of pair-wise protein-protein interactions within and between the proteomes of cells, tissues, and pathogenic organisms, (5) rapid selection of antibody fragments or other binding proteins which bind specifically to polypeptides of interest, (6) rapid antigen identification for anti-cell and anti-tissue antibodies, (7) rapid epitope identification for antibodies, (10) cell-based screens for high-throughput selection of inhibitors of any protein-protein interaction.

en

Breakpoint fusion fragment complementation system

16711635_US

18673180_US,39367850_US

C07K 16/00,C07K 16/2878,C07K 16/32,C07K2317/622,C07K2319/00,C12N 9/0036,C12N 15/1055,G01N 33/535,G01N 33/6803,G01N 33/6842,G01N2333/986

2015-01-26

N

The application relates to the technical field of optical fiber sensing layer and provides an optical sensing fiber comprising two layers of pressure-sensitive assembly films which are vertically superposed and at least one layer of flexible and smooth film separating a space between the two layers of pressure-sensitive assembly film into at least two interlayer, each interlayer is provided with at least one optical fiber row which has many S-shaped concatenated cablings and extends along a first direction, the cablings of vertically adjacent optical fiber rows staggers and superposes. The optical fiber layer distributes the optical fiber rows uniformly on the pressure-sensitive assembly films to form optical fiber sensing areas, and the bending portions of the cablings of two vertically adjacent optical fiber rows stagger and superpose. The optical fiber sensing areas compensate their blind sensing areas mutually so that the characteristics that the optical fiber is brittle and can be changed by the optical fiber sensing layer are changed, and the breath, heartbeat, sleep, temperature and moisture can be detected quickly and precisely. The optical fiber sensing layer has the characteristics of a high and adjustable sensitivity, a high resolution, an electromagnetic interference resistance, and a uniform sensitivity. The application further provides a monitoring system comprising an optical fiber sensing layer, an illuminant, a light detecting assembly, an optical fiber transmission circuit and a processing circuit.

en

FIBER SENSING LAYER AND MONITORING SYSTEM THEREOF

55791829_TW

55717257_TW

A61B 5/0059,A61B 5/0205,A61B 5/02055,A61B 5/0873,A61B 5/1102,A61B 5/6804,A61B 5/6891,A61B 5/6892,A61B2562/0247,A61B2562/0266,A61B2562/0271,A61B2562/029,G01D 5/353,G01D 5/35374,G01L 1/242

2007-10-31

Y

The present invention describes a method and apparatus to localize the electrical signals measured from a subject's scalp surface, preferably in near-real time, and to generate dynamic three-dimensional information of the electrical activity occurring within the cerebral cortex of the brain. In the preferred embodiment, it can produce images that can be immediately inspected and analyzed by an operator in near-real time, resulting in a powerful new cortical imaging modality, which we denote as Dynamic Electrocortical Imaging (DECI). The present invention involves the use of a computer, an electroencephalographic (EEG) amplifier, EEG electrodes, and custom software. It can measure healthy and diseased cortical events and states in both conscious and unconscious subjects. This is useful, as it allows for the diagnosis, monitoring and treatment of cortical disorders, while also furthering the understanding of the human brain and lending use to additional non-medical applications such as in entertainment, education, lie-detection and industry. The invention in one embodiment is implemented using software in conjunction with readily available EEG hardware. Furthermore, this same method can be applied to pre-existing data and when doing so, EEG hardware is not required. Having a practical near-real time 3D imaging system brings a far more accessible technology to doctors, researchers, individuals, and private clinics to better diagnose, monitor, treat and understand many of the conditions and abnormalities of the brain.

en

Three-dimensional localization, display, recording, and analysis of electrical activity in the cerebral cortex

11291231_CA,11291232_CA

11291231_CA,11291232_CA

A61B 5/164,A61B 5/369,A61B 5/4023,G06T 17/10

2020-06-05

N

The invention relates to a system and a method for object recognition via a computer vision application, the system comprising at least the following components:-at least one object to be recognized, the object having an object-specific reflection and luminescence spectral pattern,-a light source configured to illuminate a scene comprising the at least one object, the light source is designed to omit at least one spectral band of a spectral range of the light when the scene is illuminated, the at least one omitted spectral band being in an emission spectral pattern of the at least one object,-at least one sensor configured to detect an emission spectrum of the at least one object when the scene is illuminated by the light source, radiation data of the scene is measured exclusively in at least one of the at least one omitted spectral band,-a data storage unit comprising an emission spectral pattern and appropriately assigned corresponding objects,-a data processing unit comprising a data processing unit, and a processor configured to: extract an object-specific luminescence spectrum pattern of at least one object to be identified from among the measured scene radiation data, and match the extracted object-specific luminescence spectrum pattern with the luminescence spectrum pattern stored in the data storage unit, and identify the best matched luminescence spectrum pattern, and thus, identify the object-specific luminescence spectrum pattern of the at least one object to be identified. And the distributed objects.

en

SYSTEM AND METHOD FOR OBJECT RECOGNITION IN NATURAL AND/OR ARTIFICIAL LIGHT

83767997_

85640455_,64547992_

G06K 9/6201,G06V 10/143,G06V 10/147,G06V 10/75

2005-01-25

Y

4-(Fluorinated alkyl or fluorinated cycloalkylalkyl)-3,4-dihydro-2H-1,2,4-benzothiadiazine-1,1-diox ide derivatives (I) are new. - Benzothiadiazine derivatives of formula (I) (including optical isomers where appropriate) and their acid or base addition salts are new. - Rf = mono- or polyfluoroalkyl or mono- or polyfluoro-cycloalkylalkyl; - R1 = H, alkylaminocarbonyl or alkyl (optionally substituted by one or more halo); - R2 = H, halo, cycloalkyl or alkyl (optionally substituted by one or more halo); - R3 - R6 = H, halo, NO2, CN, alkylsulfonyl, OH, alkoxy, alkyl (optionally substituted by one or more halo) or NH2 (optionally substituted by 1 or 2 alkyl); - Alkyl moieties have 1-6C and cycloalkyl moieties 3-7C; - provided that R3 = H when R6 is other than H. - Independent claims are also included for: - (A) new benzothiadiazine derivatives of formula (VI); and - (B) the preparation of (I). - ACTIVITY - Nootropic; Tranquilizer; Antidepressant; Neuroprotective; Antiparkinsonian; Anticonvu lsant; Neuroleptic. - In object recognition tests in 17 month old rats, 7-chloro-4-(2-fluoroethyl)-3,4-dihydro-2H-1,2,4-benzothiadiazin e-1,1- dioxide (Ia) at oral doses of 0.1 mg/kg significant reduced age-associated loss of memory. - MECHANISM OF ACTION - alpha -Amino-5-methyl-4-isoxazole-propionic acid (AMPA) receptor modulator. - In tests in Xenopus ovocytes, (Ia) strongly potentiated the excitative effect of AMPA, showing EC2X and EC5X values of 6.7 mu M and 14.5 mu M respectively for increasing the AMPA-inducedionic current.

en

NEW FLUORINATED BENZOTHIADIAZINE COMPOUNDS, A PROCESS FOR THEIR PREPARATION AND PHARMACEUTICAL COMPOSITIONS CONTAINING THEM.

12483393_FR

25518423_,33998558_,33464639_,12689979_FR,40405707_,33464640_,13363516_

A61P 9/10,A61P 25/00,A61P 25/08,A61P 25/14,A61P 25/16,A61P 25/18,A61P 25/22,A61P 25/24,A61P 25/28,A61P 39/06,A61P 43/00,A62C 13/76,C07D 285/24

2018-11-14

Y

The present invention relates to a method for generating a brain metabolite network using a time-varying function for magnetic resonance spectroscopy-based brain metabolites, which, for monitoring the brain metabolite network, detects spectrum at certain time intervals by using magnetic resonance spectroscopy (MRS) equipment for specific regions of the brain, obtains the time-varying function of the brain metabolite in which the amount of metabolite from the detected spectrum shows a quantitative change over time, and configures a brain metabolite network by using the obtained time-varying function. The present invention can contribute to revealing the interrelationship of metabolites between regions of the brain through a correlation coefficient. In addition, two regions connected in the brain functional network which connects the regions of the brain performing the same function speculates that an amount of a metabolite performing a specific function in a corresponding region coincidentally increases and decreases through the brain metabolite network of the present invention. Accordingly, it is possible to identify how the two regions can interact and through which mechanism the two regions are functionally related as well as identifying a functional association of the two regions. Therefore, the identified results can provide precise and accurate information to the development of diagnosis and treatment method of brain diseases, and also can be used as an indicator to monitor and evaluate a treatment process.

en

Brain metabolite network generation method using time varying function based on MRS

68408126_KR

59202601_,59361609_,58979184_,70712846_,66111595_,70358561_

A61B 5/055,G06T2207/10088

1998-04-14

Y

A method for diagnosing a psychiatric disorder in a subject, the method comprising the steps of: measuring the pattern of a subject's biophysical parameter and using said pattern to diagnose the psychiatric disorder. It has been found that certain clinical states are consistently associated with distincly different patterns of biophysical parameters. Norm al and abnormal profiles are established, and subjects are tested by monitoring the pattern of a given parameter and comparing said pattern wi th reference patterns indicative of a psychiatric disorder. Heart rate is one biophysical parameter that can be readily and conveniently measured. Psychiatric disorders may be identified and diagnosed from analysis of characteristic patterns within portions of the circadian heart rate pattern. In one particular form, the heart rate pattern is measured over a period of at least approximately 90 minutes. The portion of the circadian heart rate pattern is preferably the sleep portion and in particular the sleep portion including the transition of the subject into and out of sleep. Preferably, the subject's heart rate is measured with a monitor that is unobtrusive and leaves the person freely ambulant. Heart rate patterns may be affected by a range of factors. Some factors may produce noise that may hamper the interpretation of the heart ra te pattern. Comparison of the subject's heart rate pattern with the record of the subject's activities allows for the effects of noise in th e subject's heart rate pattern to be negated.

en

METHOD FOR DIAGNOSING PSYCHIATRIC DISORDERS

15737448_BB

16611125_AU

A61B 5/02,A61B 5/02405,A61B 5/16,A61B 5/165,G16H 10/20,G16H 15/00,G16H 20/10,G16H 20/70,G16H 70/60

2017-04-26

Y

The present invention relates to a social value enhancement system using a network. The social value enhancement system includes: a registration unit which receives the information on points to be provided when completing a social activity and request content with regard to the social activity related to the good deeds, a voluntary work or a donation from a first user terminal to register the information in a set online community; a control unit which requests the permission from the first user terminal with regard to the completed social activity when the completion of the social activity is input from a second user executing the same through a second user terminal; and a point management unit which provides the points to the second user and a first user corresponding to the first user terminal corresponding to the point information when the permission from the first user terminal is received. The social value enhancement system finds the social activities, good deeds, and praises at the individual, social, organizational, and social enterprise levels and applies points to a praising person and a praised person during the process of making the found information public, thereby guiding the systematic discovery, scale, and diffusion of social values related to the social activities, good deeds, and praises. The praises not approved by a target person of the praises do not make the content and points related to the praises last, thereby continuously securing and distributing the socially valuable praise targets.

en

SYSTEM FOR SMART SOCIAL VALUES PROMOTING USING NETWORK

66953993_KR,68769362_KR

69138525_KR,64024388_KR,67583471_KR,68363757_KR

G06Q 30/0207,G06Q 50/01,G06Q 50/30

2016-11-16

N

The invention relates to an infrared medical automatic analysis system and method based on traditional Chinese medicine clinical holographic face diagnosis. The automatic analysis system comprises infrared thermal imaging equipment, a cloud storage module, a facial thermal state abnormity analysis module, a region positioning module and an analysis result generation module, wherein the infrared thermal imaging equipment collects facial thermal state temperature data of a user and transmits the facial thermal state temperature data to the cloud storage module; the cloud storage module transmits the facial thermal state temperature data of the user to the facial thermal state abnormity analysis module; the facial thermal state abnormity analysis module analyzes the facial thermal state temperature data to obtain regions with abnormal facial infrared thermal state distribution of the user and transmits the regions to the region positioning module; the region positioning module determines position information of health abnormity regions in the body of the user according pre-stored face diagnosis chart positioning information and the regions with the abnormal facial infrared thermal state distribution of the user and transmits the health abnormity regions to the analysis result generation module; and the analysis result generation module outputs a user health abnormity report. The infrared medical automatic analysis system and the infrared medical automatic analysis method are convenient to promote and popularize.

en

Infrared medical automatic analysis system and method based on traditional Chinese medicine clinical holographic face diagnosis

60003276_

65376044_

A61B 5/0059,A61B 5/01,G16H 50/20,G16H 50/30

2002-09-20

Y

Disclosed herein are constitutively activated, non-endogenous versions of endogenous human G protein-coupled receptors comprising (a) the following amino acid sequence region (C-terminus to N-terminus orientation) and/or (b) the following nucleic acid sequence region (3' to 5' orientation) transversing the transmembrane-6 (TM6) and intracellular loop-3 (IC3) regions of the GPCR: (a) P<SUP>1 </SUP>AA<SUB>15</SUB>X and/or (b) p<SUP>codon </SUP>(AA-codon)<SUB>15 </SUB>X<SUB>codon</SUB>, respectively. In a most preferred embodiment, P<SUP>1 </SUP>and P<SUP>codon </SUP>are endogenous proline and an endogenous nucleic acid encoding region encoding proline, respectively, located within TM6 of the non-endogenous GPCR; AA<SUB>15 </SUB>and (AA-codon)<SUB>15 </SUB>are 15 endogenous amino acid residues and 15 codons encoding endogenous amino acid residues, respectively; and X and X<SUB>codon </SUB>are non-endogenous lysine and a non-endogenous nucleic acid encoding region encoding lysine, respectively, located within IC3 of the non-endogenous GPCR. Because it is most preferred that the non-endogenous human GPCRs which incorporate these mutations are incorporated into mammalian cells and utilized for the screening of candidate compounds, the non-endogenous human GPCR incorporating the mutation need not be purified and isolated per se (i.e., these are incorporated within the cellular membrane of a mammalian cell), although such purified and isolated non-endogenous human GPCRs are well within the purview of this disclosure.

en

Non-endogenous, constitutively activated human G protein-coupled receptors

6003774_US

7142384_US,6003777_US,6003775_US

A61K 38/00,A61P 43/00,C07D 231/12,C07D 231/16,C07D 409/12,C07K 14/705,C07K 14/70571,C07K 14/72,C07K 14/723,G01N 33/566,G01N2333/726,G01N2500/00

2008-05-06

Y

FIELD: physics.SUBSTANCE: invention relates to positron imaging and reconstruction of data collected during positron emission tomography (PET). The device includes: a positron emission scanner (102), an iterative local reconstruction unit (146) which reconstructs spatially truncated projection data collected along operating lines which cross the subregion of the object in order to form image space data which characterise the object and additionally includes a unit (606) for forming front projections; a unit (624) for forming back projections, obtained via back projection, in order to update image evaluation; the device also includes a motion compensating unit (142) for compensating motion of the object; an image merging unit (148) which merges image space data with space data of another image, characterising the object; a machine-readable data medium, having commands for executing the method, identifying the region of interest of the object, spatial truncating of the collected projection data, wherein the spatial truncating step includes identification of projection data collected along operating lines which cross the region of interest, performing iterative local reconstruction of spatially truncated data collected during positron emission analysis of the object.EFFECT: design of a device and a method for positron emission tomography, which collects projection data along operating lines which cross the identified region of interest which characterises positron annihilation in the analysed object.14 cl, 7 dwg

en

LOCAL POSITRON EMISSION TOMOGRAPHY

64262776_NL

68908346_US

A61B 6/037,A61B 6/583,G06T 11/006,G06T2211/412,G06T2211/424,G06T2211/432

1998-08-24

Y

An improved method, termed 'statistical synthetic aperture magnetometry' (SSAM) of transforming magnetoencephalographic (MEG) measurements into corresponding three-dimensional images of the electrophysiological activity within the brain. The computed images are static, representing the time-integrated brain activity over a selected period. By selecting the time periods and frequency bands of interest, the SSAM method selectively images brain activity relating to different types of brain pathology or to cognitive events. Unlike prior art methods, the SSAM method compensates for the growth of ionic signal source strength estimates with depth into the head, resulting, in part, from the declining sensitivity of the MEG sensors. This is achieved by computing and displaying functions of the ratio of source strength to its noise for each element comprising the image. That is, a functional image is determined by an array of voxels where each voxel is based upon a function of source signal-to-noise ratio (SNR) rather than the source strength, alone. By using functions of SNR to represent source activity, the SSAM method achieves more accurate and higher resolution source localization. Each voxel is represented as a function of the ratio of a source power estimate to a source noise variance estimate. Such functions are found to be maximum at the true locations of sources, whereas plots of source power alone (as in prior art methods), show maxima which appear deeper and more diffuse in the brain than they in fact are.

en

Method for functional brain imaging from magnetoencephalographic data by estimation of source signal-to-noise ratio

6405607_CA

6405608_CA

A61B 5/242,A61B 5/245,A61B 5/246,A61B 5/4094,G06K 9/0057

2019-10-31

N

Disclosed is a rehabilitation robot training system for monitoring and suppressing the compensatory movement of a hemiplegic upper limb. The system comprises an upper computer control center (1), an interaction display screen (2), a force feedback glove (3), a position tracker (4), upper limb rehabilitation robot tail end connectors (5), an upper limb rehabilitation robot (6), a base (7) and a pressure cushion (8). One upper limb rehabilitation robot tail end connector (5) is mounted on a tail end of each of two robotic arms of the upper limb rehabilitation robot (6), and the upper limb rehabilitation robot tail end connectors are respectively worn on an upper arm and a forearm of a patient to drive an arm to move; the upper computer control center (1) stores and processes data, collected by the position tracker (4), the force feedback glove (3) and the pressure cushion (8) in real time, of the patient, and monitors and analyses whether the patient does a compensatory gesture; and the interaction display screen (2) displays a position posture and a compensatory movement monitoring result of an upper limb of the patient in time and directs the patient by voice to suppress the compensatory movement. The rehabilitation robot training system achieves the monitoring and suppressing of compensatory movements in the rehabilitation training process of a hemiplegic upper limb, is beneficial to assisting a patient in moving correctly, and promotes the enhancement of the movement function of the hemiplegic upper limb.

en

REHABILITATION ROBOT TRAINING SYSTEM FOR MONITORING AND SUPPRESSING COMPENSATORY MOVEMENT OF HEMIPLEGIC UPPER LIMB

63586689_CN

76967155_CN,76493896_CN,76114057_CN,77383631_CN

A61B 5/1116,A61B 5/6801,A61H 1/00,A61H 1/0274,A61H 23/02,A61H2201/1207,A61H2201/1638,A61H2201/1659,A61H2205/06,A61H2230/625,B25J 9/163,B25J 9/1664

2015-01-12

N

A diatrophic, bio-physiological interface is self-contained with onboard intensification, filtering, and signal processing and is wirelessly enabled (idio-electrode), with multiple sensory system for bio-physiological measurements, described herein utilizes spatially resolved potential profiles from a cluster of mini electrodes to form constituent sets comprising mini sensorial electrodes. The sets of sub electrodes containing the clusters are jointly optimized to attain measurable gradient of some diagnostic value. The present invention provides a distinct lead-free single electrode that is rotationally invariant with onboard Digital Signal Processor for arrhythmia detection, source encoding, and passive and active wireless transmission. Additionally, in one aspect of the present invention the lead-free idio-electrode bio-physiological adapter allows for utmost clinical operational freedom and dramatically obviates the needs for leads of any length that invariably encumber the acquisition and performance of electrocardiogram recordings of any sort. Additional disclosure pertains to: In-situ Real-Time Auto-Regressive Predictive ECG Analysis; Real-Time Patient-Event Reporting; Dynamic Multi-function External Interface; Device Charging; Capacitive Touch UI; A Priori Signal Integrity Verification; Inductive Mode Charging; Electrode/Enclosure Interface; Application of Predictive Analysis to Power Efficiency and Run-time Optimization; and Master-Slave Network Synchronization via Out-of-Band AC-coupled Potential.

en

Diagnostic device for remote sensing and transmitting biophysiological signals

50046683_US

10797849_US,49970378_US,49979940_US

A61B 5/0006,A61B 5/25,A61B 5/282,A61B 5/30,A61B 5/486,A61B2560/0214

1986-06-03

Y

There is disclosed herein a recognize only embodiment of a recognition matrix comprised of a forward matrix and a reverse matrix each having a plurality of contacts which cause convergence responses on target lines when an input signal is received by said contact. Learning is performed by changing the characteristics of the contacts to alter the convergence responses they cause in accordance with a learning rule involving the comparison of total convergence response on each target line to a convergence threshold. The contacts are not programmed ad hoc in the field as events are individually learned. Instead each contact is programmed permanently by the user for a class of events which is fixed and which can never change. The user typically performs the learning on a computer simulator for all the events which a particular system is to be used to recognize. The patterns of convergence responses and contact structure characteristics which cause these convergence responses for the class of events as a whole are then examined and optimized for maximum recognition power and minimum confusion. This pattern of convergence responses or contact characteristics is then permanently programmed in the contacts of the forward and reverse matrices. A no-confusion embodiment is also disclosed whereby an array oif recognition machines are each programmed to recognize only one event, and all are coupled in parallel to an input bus carrying the signals characterizing the event to be recognized. The outputs are or'ed together.

en

Brain emulation circuit with reduced confusion

5701490_US

10299293_US,6676358_US,10299292_US

G06K 9/6217,G06N 3/063,G06V 10/75