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".

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

Atrial Fibrillation Detection Blood Pressure Monitor (Oscillometric Method)

Using deep learning to detect Atrial fibrillation

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

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

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

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

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

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

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

Takes data from the atrial fibrillation database from Physionet, and attempts to detect that atrial fibrillation using a number of statistical methods. Matlab code.

Using deep learning to detect Atrial fibrillation

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

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

Takes data from the atrial fibrillation database from Physionet, and attempts to detect that atrial fibrillation using a number of statistical methods. Matlab code.

Repository contains codes to run REACT mapping algorithm. REACT maps are a novel approach to identify organized islands in atrial fibrillation.

💔 Global and Local Prediction in Automatic detection of Atrial Fibrillation

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