This repository includes the implentation of R peak detection method in Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks.
- The China Physiological Signal Challenge 2020, (CPSC-2020) dataset is used for training & testing.
- R peak annotations are already available in the data folder.
- Download CPSC data from the link to the "data/" folder
- Data Preparation without augmentation
python prepare_data.py- Data Preparation with augmentation
python prepare_data_augmentation.py- Start patient wise training and evaluation.
python run_selfONN.pyIf you use the provided method in this repository, please cite the following paper:
@article{gabbouj2022robust,
title={Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks},
author={Gabbouj, Moncef and Kiranyaz, Serkan and Malik, Junaid and Zahid, Muhammad Uzair and Ince, Turker and Chowdhury, Muhammad EH and Khandakar, Amith and Tahir, Anas},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2022},
publisher={IEEE}
}