NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.

Native Python WFDB package

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

A unified multi-task time series model.

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".

BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.

Converting real-time EEG into sounds, music and visual effects

Open source ECG holter

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Open-source device for measuring cardiograpgy signals with a GUI for easier handling and additional software for analyzing the data.

ECG arrhythmia classification using a 2-D convolutional neural network

ECG classification programs based on ML/DL methods

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

Deep learning ECG models implemented using PyTorch

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

The programming interface for your body and mind