E. S

Adaptive Attention-Driven ALEXIS Framework for High-Precision ECG Signal Classification

Accurate classification of electrocardiogram (ECG) signals is essential for the early identification of cardiac abnormalities and for supporting timely clinical decision-making. However, conventional machine learning and deep learning approaches often assume stationary signal characteristics and therefore struggle to m...