Takes an existing Boolean model and refines it to fit better with the given experimental results.

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Global Electrical Heterogeneity Electrocardiogram analysis

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predi…

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".

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

Populaiton of Paci Cells and Various Simulations

A Review of Deep Learning Methods on ECG Data

An open-source python library for the processing of fluorescence video data

Simple MATLAB code for solution of the Monodomain equation in 2D. Assumes a regular grid, but allows for user to specify heterogeneous diffusion tensors and blocked regions.

This a reaction-diffusion PDE solver in 3D implemented with C/C++/CUDA and OpenGL interoperability. In addition, the media has rotational anisotropy to account for the tissue fiber effects.

Virtual Cardiac Tissue Model – A Cellular Potts Model for cardiac monolayers that reproduces fibrotic patterns

A 1D Tissue Model of the Cardiac Purkinje-Ventricular System

A simple and easy-to-use application for simulation of the electrophysiology of heart tissue, in which mechanisms of disorders of heart rhythm (arrhythmia) as well as clinical procedures of their a…

Bidomain model for simulating the electrical activity of heart tissue.

Modeling active force generation in the cardiac tissue

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

A list of (detailed, non-stochastic) action potential models, with links to papers, source code, CellML and Myokit implementations

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

Machine Learning project to predict heart diseases

Source code for "Investigational treatments for COVID-19 may increase ventricular arrhythmia risk through drug interactions"

ECG arrhythmia classification using a 2-D convolutional neural network