PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Popular ECG QRS detectors written in python

ECG classification programs based on ML/DL methods

MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

ECG Classification

1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

[深度应用]·首届中国心电智能大赛初赛开源Baseline（基于Keras val_acc: 0.88）

Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].

[Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.

ECG signal classification using Machine Learning

Ensemble RNN based neural network for ECG anomaly detection

A library to compute ECG signal quality indicators

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.

Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification

Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification." Sethi et al., MLHC 2025

Synthesize plausible ECG signals via Generative adversarial networks

BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.

This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.

A Combined ResNet-DenseNet Architecture with ResU Blocks (ResU-Dense) for 12-lead ECG Abnormality Classification

Classification of ECG signals by dot Residual LSTM Network for anomaly detection

[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.

Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"

No description provided.

First place solution for "medicine" topic in AI Challenge 2023

Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.

MSc Project: Quantifying Stress Pattern. A 9-month individual research project, as a part of my MSc Communication & Signal Processing at Imperial College London. (ECG, HRV, SVM, LSTM, MATLAB)