An electrocardiogram analysis foundation model.

Annotation of ECG signals using deep learning, tensorflow’ Keras

This project is for Electrocardiogram(ECG) signal algorithms design and validation, include preprocessing, QRS-Complex detection, embedded system validation, ECG segmentation, label your machine learning dataset, and clinical trial...etc.

An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)

BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis

This is the project page for the iOS app ECG Recorder for Polar H10 heart rate sensor. The app records three types of data from a Polar H10 heart rate sensor: electrocardiogram (ECG), heart rate (HR) and the R-R interval (RR).

Using deep learning to detect Atrial fibrillation

Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data

Fast and sample-accurate R-peak detectors based on Visisbility Graphs

[MLHC 2025] ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling

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 Unified Framework for Benchmarking Generative Electrocardiogram-Language Models (ELMs)

An ECG Foundation Model: Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners (ICML 2025)

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"

Perform image and time series classification of various cardiovascular conditions as well as COVID-19 using Electrocardiogram data.

Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.

Matlab GUI to load, plot, analyze and filter real ECG signal and model your own ECG.

Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs

Predict Arterial Blood Pressure Using ECG and PPG Data

ElectroCardioGuard code (https://www.sciencedirect.com/science/article/pii/S0950705123007645, https://arxiv.org/abs/2306.06196)