Cardiovascular scientists at City St George's, University of London, have identified crucial clues from a heart rhythm test ...

This article proposes a higher order time-frequency domain tensor-based method for detecting AF and AFL-based atrial abnormalities using 12-lead ECG signals. Initially, 12-lead ECG signals are ...

Researchers developed an AI-powered ECG model, EchoNext, that detects structural heart disease with high accuracy across ...

Furthermore, in the context of a 12-lead ECG diagnostic system, the fully printed wet ECG electrodes demonstrated a performance similar to that of commercially available wet ECG electrodes while being ...

An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ...

This study presents a complete system for remote single-lead electrocardiogram (ECG) monitoring using a wearable device equipped with dry laser-induced graphene (LIG) electrodes. First, we evaluated ...