Abstract:
Ventricular arrhythmias (VAs), particularly ventricular tachycardia and fibrillation, remain a leading cause of sudden cardiac death. Implantable cardioverter defibrillators (ICDs) can deliver life-saving shocks, but inappropriate shocks degrade patient outcomes and device efficiency. While deep learning has improved VA detection accuracy, it lacks uncertainty quantification (UQ), limiting clinical acceptability. This …