IEEE

Generalized ECG Heartbeat Classification Using Time-Series Transformers

Abstract: This research investigates Time-Series Transformer architectures for Electrocardiogram (ECG) heartbeat classification, particularly focusing on their generalization capabilities towards new ...
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 ...
ahajournals.org

Detection of Hypertrophic Cardiomyopathy on Electrocardiogram Using Artificial Intelligence

Hypertrophic cardiomyopathy (HCM) is associated with significant morbidity and mortality, including sudden cardiac death in the young. Its prevalence is estimated to be 1 in 500, although many people ...
IEEE

FPGA-Optimized Sleep Apnea Detector from ECG Sensor Data Using DWT and Wide Neural Networks

Abstract: Obstructive sleep apnea (OSA) is a widespread but underdiagnosed sleep disorder that necessitates accessible, real-time monitoring solutions, especially for resource-constrained environments ...