B. V. D. van der Ster

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...