atrial-fibrillation

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".

Atrial Fibrillation Detection Blood Pressure Monitor (Oscillometric Method)

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.

Using deep learning to detect Atrial fibrillation

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

This repository contains code reproducing an existing method to detect atrial fibrillation using empirical mode decomposition of signals. This was a lecture that I gave for graduate-level BioSignal Processing course.

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

Data Science Project - Time Series & Data Mining

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"

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

Generate a standardized 2D map of the left atrium by unfolding a 3D mesh and its variables

Interpretable block-term tensor regression (BTTR) for identifying atrial fibrillation in sinus-rhythm ECG on PTB-XL, benchmarked against clinical, CNN, CP, and foundation-model baselines.

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

Interpretable Block-Term Tensor Network (BTTN) for predicting future-onset (incident) atrial fibrillation from a single sinus-rhythm 12-lead ECG on MIMIC-IV-ECG: the glass-box (time x lead) factor parameters ARE the explanation, with a measured-faithfulness framework, at parity with a CNN. Patient-grouped CV, patient-bootstrap CIs.

Classify the image of atrial fibrillation and normal sinus rhythm using mobile net

This repo contributes the usage of long term Atrial Fibrillation database to collect four types of cardiac arrhythmias data.

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