S. Sundaramoorthy

Explainable hybrid deep learning framework with Grad-CAM for heartbeat-level arrhythmia classification

The proposed framework effectively integrates local morphological feature extraction with temporal modeling, providing a robust and scalable solution for ECG arrhythmia classification and its computational efficiency and its use of single-lead ECG signals make it suitable for real-time deployment in wearable devices, r...