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".

AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017

EKG Analysis code for the MI3 intern group at CHOC Children's

The code of An End-to-End Atrial Fibrillation Detection by A Novel Residual-Based Temporal Attention Convolutional Neural Network with Exponential Nonlinearity Loss

Segmentation of histological images and fibrosis identification with a convolutional neural network

Code for the paper "Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation"

Atrial Fibrilation diagnosis based on the discriminative elements of an ensemble of GANs

Special Project - CA classification (2019 Fall)

A Python implementation of a cellular automaton model of atrial fibrillation, an abnormal heart rhythm.

A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.

Software developed to carry out the End-of-Degree Project PRAFAI (Prediction of Recurrence of Atrial Fibrillation using Artificial Intelligence).