CardioState-JEPA learns a shared cardiac representation across ECG, PPG, and PCG signals

An arXiv paper presents CardioState-JEPA, a delay-aware cross-modal model that learns one shared representation of cardiac activity from ECG, photoplethysmography, and phonocardiography signals. The authors argue that current cardiac foundation models are tied to a single sensing modality, and their approach instead aligns the complementary views these three signals provide of the same heartbeat.