Predicting Cardiac Wellnes: Using a Multi-Layer Perceptron on ECG Data

Classificação de séries temporais de sinais ECG com redes neurais convolucionais (CNN).

Oloche's AI Cardiologist is a deep learning web app for real-time automated classification of cardiac arrhythmias from raw ECG signals. Uses a custom 1D CNN trained on MIT-BIH database to classify heartbeats into five categories with confidence scores and visualizations for diagnostic support.

A deep learning-based system for automatic detection of sleep apnea from ECG signals using a hybrid 1D CNN-BiLSTM architecture with an attention mechanism. Achieves high accuracy with minimal preprocessing, making it suitable for real-time, portable diagnostic applications.

In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.

Patient Specific ECG Classification with 1D Convolution Neural Networks

Demo of a smartwatch based systematic health monitoring solution designed for patients with chronic conditions

Arrhythmia detector based on machine learning algorithms

Official Repo for, GRACE: Privacy-centric Multimodal Seizure Detection

2020新网银行金融科技挑战赛 AI算法赛道A榜14, B榜16解决方案

Deep learning system for automatic cardiac arrhythmia classification from 12-lead ECG signals. Implements CNN, LSTM, and hybrid architectures trained on PTB-XL dataset. Features multi-label classification for 5 diagnostic classes (NORM, MI, STTC, CD, HYP) with comprehensive visualization tools.

Comparison between classical and enanched genetic programming in signals classification (ECG). Project for Machine Learning, developed in 2025.

One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++

ML-based solution for ECG signal processing and diagnosis classification. Paper in SSPP 2025

Determine the gender from a 12 Lead ECG signal with different machine learning algorithms.

A Method to Improve Any ECG Denoising Technique In limb leads

GUI версия проекта по получение ВЭКГ на основе ЭКГ и СППР на основе векторных петель