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".
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Updated
Mar 25, 2023 - Python
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
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
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.
Segmentation of histological images and fibrosis identification with a convolutional neural network
A convolutional neural network to detect atrial fibrillation from a single-lead ECG
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
Basic ontology to represent the article: "Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation"
Data Science Project - Time Series & Data Mining
Special Project - CA classification (2019 Fall)
Repository contains codes to run REACT mapping algorithm. REACT maps are a novel approach to identify organized islands in atrial fibrillation.
A Python implementation of a cellular automaton model of atrial fibrillation, an abnormal heart rhythm.
This system object can be used to detect Atrial Fibrillation in an ECG signal
Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification
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