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Acknowledgement

Some of the python code (comment lines or functions) in this project is not used which are some attempts or hints I have done. I must admit that the code refers to the following two items in many places:

  1. https://github.com/jadore801120/attention-is-all-you-need-pytorch
  2. https://github.com/eladhoffer/seq2seq.pytorch

MATLAB code

version is R2018.a

  1. Need WFDB Toolbox for MATLAB from https://physionet.org/physiotools/matlab/wfdb-app-matlab/
  2. run get_anno to get annotation
  3. run denoising to get denoised signal
  4. run segmentation to segment the denoised signal
  5. run features to get the final results, format: label, preRR interval, postRR interval, [heartbeat signal]
  6. Here I provide a version of the results, you can also try to use different noise reduction methods or segmentation methods.

Python code

  1. All parameters are defined in config.py
  2. Some package versions：
    • python: 3.6.8
    • numpy: 1.16.0
    • Pytorch: '1.0.1.post2'
    • cuda: '10.0.130'
    • tqdm: 4.31.1
  3. You may need to change the code in main.py to set train_file and valid_file path according to your preference.
  4. Since I have modified my code, I'm not sure the code will work correctly. So if there is any bug, please let me know.

License

For academtic and non-commercial usage