A. Vlaar

Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification

Recent advances in deep learning have led to the development of ECG foundation models (ECG-FMs) trained with self-supervised learning, which can extract generalizable representations from large-scale data. In this study, we evaluated the performance of these ECG-FMs in detecting atrial fibrillation and sinus rhythm dur...