Flutter ECG application to Windows and Android.

Code for Optimized Arrhythmia Detection on Ultra-Edge Devices

Solving physionet2017 with RCRNN

Machine learning project on Distinguish between the presence and absence of cardiac arrhythmia and its classification in one of the 16 groups.

Code for CNNs based Explainable arrhythmia detection in federated settings

Code for deployed deep learning model in production for arrhythmia detection with Explainable AI

Arrhythmia detection using topological data analysis in combination with a convolutional neural network.

A transformer custom tailored for arrhythmia detection and based on ECG (Electrocardiogram) signals.

This repository contains ML codebase developed during CSE713 group project

Files of undergraduate thesis of group 180923_180939.

Newton-Puiseux XAI & calibration for complex-valued neural networks · Symbolic–numeric local analysis, phase-aware temp-scaling, synthetic C² helix + MIT-BIH ECG

Este proyecto se corresponde con la parte del código desarrollada para mi Trabajo de Fin de Grado, en la que realicé, mediante XAI, un análisis de los valores SHAP de un conjunto de variables del ECG para analizar cuáles eran más importantes en detección de arritmias con ML.

Cardiac recordings plotting and analysis tool