IEEE

A Deep Learning Approach to Multi-Class ECG Interpretation

Abstract: The application of artificial intelligence and deep learning in cardiology has great potential for diagnostics and prevention of cardiovascular diseases. This work contributes to the ...
IEEE

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning

Abstract: The value of Electrocardiogram (ECG) monitoring in early cardiovascular disease (CVD) detection is undeniable, especially with the aid of intelligent wearable devices. Despite this, the ...
ahajournals.org

Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities: A Scientific Statement From the American Heart Association and ...

Larry A. Allen, MD, MHS, FAHA, FACC; Mats Börjesson, MD, PhD, FACC; Alan C. Braverman, MD, FACC; Julie A. Brothers, MD; Silvia Castelletti, MD, MSc, FESC; Eugene H ...
BMJ

Non-specific ECG ST-T abnormalities: cardiac repolarisation memory assessment

In this issue of the journal, Shoji et al showed that isolated non-specific ST-segment and T-wave abnormalities (NSSTTAs) are associated with incident heart failure (HF).1 The authors conducted a ...
SciELO

Visual or computer-based measurements: Which is important for the interpretation of an athlete's electrocardiography?

OBJECTIVE: Preparticipation screening of athletes by electrocardiography is the most crucial step in determining sudden cardiac death risk factors. Several electrocardiography interpretation software ...