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This is a pytorch implementation for the paper CadioID: learning to identification from electrocardiogram data.

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Introduction

This is a pytorch implementation for the paper CadioID: learning to identification from electrocardiogram data. paper.

Usage

# Train the model - we give default parameters in options/train_options.py
python train_physionet.py

# test the model - we give default parameters in options/test_options.py
python test_physionet.py

Requirements

python 3.7.5, pytorch 1.2.0

If you find the idea useful or use this code in your own work, please cite our paper as

@article{hong2020cardioid,
  title={CardioID: Learning to Identification from Electrocardiogram Data},
  author={Hong, Shenda and Wang, Can and Fu, Zhaoji},
  journal={Neurocomputing},
  year={2020},
  publisher={Elsevier}
}

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This is a pytorch implementation for the paper CadioID: learning to identification from electrocardiogram data.

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