IEEE

Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal

Abstract: An electrocardiogram (ECG) is a non-invasive and cost-effective method for diagnosing heart disease. However, physicians often face challenges in interpreting ECG. As a result, deep learning ...

AI-powered ECG could help guide lifelong heart monitoring for patients with repaired tetralogy of Fallot

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial ...
IEEE

ECG-Mamba: Cardiac Abnormality Classification With Non-Uniform-Mix Augmentation on 12-Lead ECGs

Abstract: Objective: The detection of heart abnormalities using electrocardiograms (ECG) is a critical task in medical diagnostics. A lot of literature has utilized ResNet and Transformer ...
ahajournals.org

An Atypical Presentation of an Occlusion Myocardial Infarction Requiring Urgent Revascularization

A 54-year-old woman with no significant past medical history presented to the emergency department with 4 hours of continuous chest pain. On arrival, her vital signs showed a heart rate of 74 beats ...