Daniel Crepeau
Daniel Crepeau has 1 paper in the ChatPPG research atlas (2022) and 14 co-authors in the atlas. Main topics: parkinsons, breathing, rf-sensing, physiological-monitoring.
Papers
- Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing Signals2022 · Nature Medicine 2022
This Nature Medicine study built an AI model that detects Parkinson's disease and tracks its progression from breathing signals recorded during sleep. Evaluated on 7,671 people from several US hospitals and public datasets, it detected the disease with AUC 0.90 on held-out data and 0.85 on external data, and its severity estimates matched the MDS-UPDRS rating scale (R = 0.94). Breathing can be captured without contact at home from radio waves reflected off the body.
- Published: Nature Medicine, 2022
- Cohort: 7,671 individuals
- Signals: nocturnal breathing (incl. radio-wave sensing)