IEEE

EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model

Abstract: Background: electrocardiogram (ECG), as a low-cost and noninvasive measurement tool, plays a crucial role in detecting arrhythmias. However, the ECG measurement process is highly vulnerable ...
IEEE

ECG-based Daily Activity Recognition Using 1D Convolutional Neural Networks

Abstract: This study presents an approach to human activity recognition (HAR) using electrocardiogram (ECG) signals. We explore the application of ECG for not only providing cardiophysiological ...
GitHub

Real-Time Simulation of Photovoltaic Panel Performance for Microgrids Using Processor-in-the-Loop (PIL) Testing

The PV Fault Detection System is an advanced real-time simulation and monitoring solution for photovoltaic panels in microgrids. This project combines Digital Twin technology with ...
Medical Xpress

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
Frontiers

Reinforcement Learning-Guided Optimization of ECG Features for Enhanced Heart Disease Prediction using Stacked CNNs

The final, formatted version of the article will be published soon. Accurate and timely heart disease diagnosis through intelligent ECG signal processing is essential to reducing death rates and ...