You-Heng Li

A lightweight 1D-CNN for multi-class ECG arrhythmia classification on the MIT-BIH database

Cardiac arrhythmias are a major contributor to cardiovascular mortality, and reliable automatic analysis of electrocardiogram (ECG) signals is essential for large-scale screening and long-term monitoring. However, automated arrhythmia classification remains challenging due to severe class imbalance, potential data le...