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README.md
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This dataset, counting 2.4 million ECGs from millions of patients in 4 countries, encompasses 164 different heart-related conditions for which the ECG is either the primary or a supportive diagnostic tool, or is used to estimate the risk of future adverse cardiovascular events.
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## Usage
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```python
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import torch
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from hubert_ecg import HuBERTECG
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This dataset, counting 2.4 million ECGs from millions of patients in 4 countries, encompasses 164 different heart-related conditions for which the ECG is either the primary or a supportive diagnostic tool, or is used to estimate the risk of future adverse cardiovascular events.
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## Usage
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**Input signals must be 5-second 12-lead ECGs sampled at 100 HZ**
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```python
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import torch
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from hubert_ecg import HuBERTECG
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