handongfeng / deep-learning-ecg-the-china-physiological-signal-challenge-2018-champion

The model and the code of The China Physiological Signal Challenge 2018 champion

The-China-Physiological-Signal-Challenge-2018-champion (Deep learning for ECG)

The artificial intelligence (AI) model and the code of The China Physiological Signal Challenge 2018 champion

Deep learning (DL) model for Electrocardiography/electrocardiogram (ECG/EKG).

Input: .mat file of ECG (time series signal) Model: classification of machine learning (ML) Out: types of arrhythmia

The team of Academia Sinica won The China Physiological Signal Challenge 2018 champion. Web: http://2018.icbeb.org/Challenge.html

The paper describing the model has been published. Chen, T. M. *, Huang, C. H. *, Shih, E. S. *, Hu, Y. F., & Hwang, M. J. (2020). Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model. iScience, 100886. (*Co-first author) https://doi.org/10.1016/j.isci.2020.100886

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