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804607c
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Parent(s):
1737659
Added overlap feature between IRL and IRL online
Browse files- portiloop/src/demo/offline.py +3 -1
- portiloop/src/demo/utils.py +11 -5
portiloop/src/demo/offline.py
CHANGED
@@ -146,9 +146,11 @@ def run_offline(xdf_file, detect_filter_opts, threshold, channel_num, freq, dete
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# Output the data to a csv file
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np.savetxt("output.csv", data_whole, delimiter=",", header=",".join(columns), comments="")
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output_table = compute_output_table(
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-
data_whole[:, columns.index("online_stimulations")]
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data_whole[:, columns.index("lacourse_spindles")] if lacourse else None,
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data_whole[:, columns.index("wamsley_spindles")] if wamsley else None,)
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# Output the data to a csv file
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np.savetxt("output.csv", data_whole, delimiter=",", header=",".join(columns), comments="")
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# Compute the overlap of online stimulations with the
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output_table = compute_output_table(
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data_whole[:, columns.index("online_stimulations")],
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data_whole[:, columns.index("online_stimulations_portiloop")],
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data_whole[:, columns.index("lacourse_spindles")] if lacourse else None,
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data_whole[:, columns.index("wamsley_spindles")] if wamsley else None,)
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portiloop/src/demo/utils.py
CHANGED
@@ -211,7 +211,14 @@ def offline_filter(signal, freq):
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return signal
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-
def compute_output_table(online_stimulation, lacourse_spindles, wamsley_spindles):
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# Count the number of spindles detected by each method
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online_stimulation_count = np.sum(online_stimulation)
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if lacourse_spindles is not None:
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@@ -224,12 +231,11 @@ def compute_output_table(online_stimulation, lacourse_spindles, wamsley_spindles
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# Count how many spindles were detected by both online and wamsley
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both_online_wamsley = sum([1 for index, spindle in enumerate(online_stimulation) if spindle == 1 and wamsley_spindles[index] == 1])
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-
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# Create markdown table with the results
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table = "| Method | Detected spindles | Overlap with
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table += "| --- | --- | --- |\n"
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table += f"| Online | {online_stimulation_count} | {online_stimulation_count} |\n"
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if lacourse_spindles is not None:
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table += f"| Lacourse | {lacourse_spindles_count} | {both_online_lacourse} |\n"
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if wamsley_spindles is not None:
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return signal
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+
def compute_output_table(irl_online_stimulations, online_stimulation, lacourse_spindles, wamsley_spindles, time_overlap_s=2.0):
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# Count the number of spindles in this run which overlap with spindles found IRL
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irl_spindles_count = sum(irl_online_stimulations)
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both_online_irl = sum([1 for index, spindle in enumerate(online_stimulation)\
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if spindle == 1 and 1 in irl_online_stimulations[index - int((time_overlap_s / 2) * 250):index + int((time_overlap_s / 2) * 250)]])
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# Count the number of spindles detected by each method
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online_stimulation_count = np.sum(online_stimulation)
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if lacourse_spindles is not None:
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# Count how many spindles were detected by both online and wamsley
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both_online_wamsley = sum([1 for index, spindle in enumerate(online_stimulation) if spindle == 1 and wamsley_spindles[index] == 1])
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# Create markdown table with the results
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table = "| Method | # of Detected spindles | Overlap with Online (in tool) |\n"
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table += "| --- | --- | --- |\n"
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table += f"| Online in Tool | {online_stimulation_count} | {online_stimulation_count} |\n"
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table += f"| Online detection IRL | {irl_spindles_count} | {both_online_irl} |\n"
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if lacourse_spindles is not None:
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table += f"| Lacourse | {lacourse_spindles_count} | {both_online_lacourse} |\n"
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if wamsley_spindles is not None:
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