Arrhythmia Detection in Electrocardiogram based on Recurrent Neural Network Encoder–Decoder with Lyapunov Exponent

Introduction

This repository provides the source code of the paper "Arrhythmia Detection in Electrocardiogram based on Recurrent Neural Network Encoder–Decoder with Lyapunov Exponent".

The structure of RNN Encoder-Decoder.

The example of arrhythmia detection. Label '100', '103', and '107' are normal (healthy), mixed (normal and arrhythmia), and arrhythmia respectively.

Requirements

• Python 3.5.2
• Tensorflow 1.4.0
• Numpy 1.13.3
• Scipy 1.2.0
• Matplotlib 3.0.2

Database

You can download the original MIT-BIH Arrhythmia Database in physiobank.

BibTeX

@Article{doi:10.1002/tee.22927,
  author = {Park, YeongHyeon and Yun, Il Dong},
  title = {Arrhythmia detection in electrocardiogram based on recurrent neural network encoder–decoder with Lyapunov exponent},
  journal = {IEEJ Transactions on Electrical and Electronic Engineering},
  volume = {0},
  number = {0},
  keywords = {arrhythmia detection, recurrent neural network encoder-decoder Lyapunov exponent},
  doi = {10.1002/tee.22927},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/tee.22927},
  eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22927},
}