Anshuman Mishra

Anshuman Mishra has 1 paper in the ChatPPG research atlas (2024), linked to 1 model and 4 co-authors in the atlas. Main topics: accelerometer, PPG, knowledge-distillation, Apple, AHMS, cross-modal.

Papers

  • Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
    2024 · arXiv preprint

    This Apple paper shows that an accelerometer foundation model can predict many health targets when it learns from a PPG model through knowledge distillation. Training used 20 million minutes of unlabelled data from about 172K people in the Apple Heart and Movement Study. Accelerometer embeddings retrieved the matching PPG embedding with 99.2% top-1 accuracy, and distilled encoders beat accelerometer-only ones by 23% to 49%.

    • Published: ArXiv preprint, 2024
    • Signals: PPG, Accelerometer
    • Result: The authors observe strong cross-modal alignment on unseen data, e.g., 99.2% top-1 accuracy for retrieving PPG embeddings from accelerometry embeddings.

Models

Co-authors