S. Artal

Self-Supervised ECG Foundation Models for Enhanced Detection of Paroxysmal Atrial Fibrillation

Results show that training design choices, particularly dataset size and Lr, are decisive for SSL performance, and that neural networks have emerged as a promising approach for detecting PAF from ECG signals.