M. Ragab

An attention-driven recurrent network and vision transformer-based assistive model for disability-oriented human activity recognition

Advances in electrocardiogram signal analytics for person identification using fine-grained fusion-driven deep representation learning under arrhythmic conditions

Introduction Electrocardiogram (ECG) signals measure the minute electrical signals produced throughout the cardiac cycle, whereas biometric signals are vital indicators of human activity. Recent studies highlight ECG as a very significant tool for clinical analysis and as a novel biometric modality. Because of differen...