Eue‐Keun Choi

Personalized deep learning for short-term forecasting of impending atrial fibrillation from continuous wearable ECG signals

Abstract Continuous wearable electrocardiogram (ECG) monitoring is increasingly used for ambulatory arrhythmia surveillance, yet forecasting impending atrial fibrillation (AF) remains challenging because of inter-patient ECG variability. We investigated whether personalizing a gl...