PhysioDyT: Physiologically Directed Dynamic Transport for ECG–PPG Representation Learning

Anonymous (ICLR 2027 double-blind)

Summary

Cross-modal predictive SSL that predicts sample-dependent distributions over positive ECG→PPG temporal offsets, preserves ordering via soft monotone transport, and sends unreliable/unmatched events to a dustbin state; combined with bidirectional latent prediction. Evaluated on a strictly patient- and pretraining-disjoint wearable cohort incl. PPG-only coronary heart disease prediction across pretraining seeds; mechanism probes (direction reversal, cross-patient mismatch, temporal shifts, transport ablations).