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Single-lead ECG biomarkers for cardiovascular and mortality risk prediction
Combining the three ECG-derived biomarkers showed complementary predictive value and improved discrimination by up to 10% over age alone in individuals aged <75 years, and when combined with age, improved predictive performance compared with age alone.
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.