02.09.2026journal-article
Biomedical Physics & Engineering Express
A deformable lead-attention fusion network for multi-label ECG classification integrating clinical metadata
Abstract Cardiovascular diseases remain a major global health burden, making accurate electrocardiogram (ECG) analysis essential for timely diagnosis. While deep learning-based methods have made significant progress in automating ECG classification, they are often limited by the variability of ECG signals, the frequent presence of multiple cardiac abnormalities, and the inadequate integration of diverse clinical data. This study proposes Deformable Lead-Path and Multi-Modal Fusion Network (DLM-Net): a robust deep l …