IEEE

Sleep Stage Classification Using a Non-contact Capacitive ECG Mattress with Machine Learning Approaches: A Feasible Study

Abstract: Sleep stage classification is essential for diagnosing sleep disorders. However, the clinical reliance on polysomnography (PSG) faces significant challenges due to its high cost, ...
Medical Xpress

AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Authors: Monica Kraft, MD, Health System Chair of the Department of Medicine; Girish N. Nadkarni, MD, MPH, CPH, Chief AI Officer and Chair of the Department of Artificial Intelligence and Human Health ...
GitHub

ECG-DualNet: Atrial Fibrillation Classification in Electrocardiography using Deep Learning

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...
IEEE

ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine Learning

Abstract: The 12-lead electrocardiogram (ECG) method can diagnose more cardiovascular disease than the single-lead method, but it is difficult to use in daily life because numerous electrodes must be ...
ahajournals.org

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

Novel targeted treatments increase the need for prompt hypertrophic cardiomyopathy (HCM) detection. However, its low prevalence (0.5%) and resemblance to common diseases present challenges that may ...
ahajournals.org

rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography

Timely diagnosis of structural heart disease improves patient outcomes, yet many remain underdiagnosed. While population screening with echocardiography is impractical, ECG-based prediction models can ...