NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

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

ECG arrhythmia classification using a 2-D convolutional neural network

UFL - Unified Form Language

Source code, issues, and discussions for Myokit: A tool for cardiac electrophysiology modelling and simulation

Repository contains simple Python scripts, designed to demonstrate two techniques of laser speckle imaging.

A software for solving problems in cardiac mechanics

Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

Laser speckle Contrast image system, blood flow, python, opencv, LSCI, Optical flow

Simula Cardiac ElectroMechanics Solver

Machine Learning project to predict heart diseases

A python script for analysis of laser speckle images

The source code used in the pandas playlist on YouTube

Open-source Python package for a wide range of tasks in modeling cardiac electrophysiology using finite-difference methods.

2D detrended fluctuation analysis

Library to compute pseudo ECG from bidomain and monodomain simulations

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Bidomain model for simulating the electrical activity of heart tissue.

An optimized voltage protocol for isolating individual currents

Code to reproduce the simulations and figures in "Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology"