A dual-branch metric-learning framework for obstructive sleep apnea detection
Obstructive sleep apnea (OSA) screening using wearable-compatible signals remains challenging because of signal noise, temporal complexity, and physiological variation among individuals. We propose a multimodal Siamese metric-learning framework that jointly models electrocardiography (ECG) and oxygen saturation (Sp...