Andreas Brink-Kjaer
Andreas Brink-Kjaer has 2 papers in the ChatPPG research atlas (2026), linked to 1 model, with work using 1 dataset and 20 co-authors in the atlas. Main topics: sleep, PSG, EEG, PPG, accelerometry, masked-autoencoding.
Papers
- Dual foundation models for accelerometry predict future health2026 · medRxiv preprint
This medRxiv study encoded one week of UK Biobank wrist accelerometry from 97,696 people with two frozen self-supervised models and trained one survival model for 390 health outcomes. In 5,253 held-out participants mean concordance was 0.688, and one shared component explained 76% of predicted risk variance. Movement data also flagged early signs of neurodegenerative disease, strongest for Parkinson's (five-year AUROC 0.90).
- Published: medRxiv preprint, 2026
- Cohort: 97,696 UK Biobank participants
- Signals: wrist accelerometry (1 week)
- Learning transferable human physiology from two million hours of sleep with SleepFM-22026 · arXiv preprint, cs.AI
Rahul Thapa, Christopher Sun, William Theodor Lehn-Schiøler, Sophia Claire Kivelson, Umaer Hanif, Hyatt Moore IV, Harrison G. Zhang, Hafsa Ahmed, Marcus Dige, Niels R. Lorenzen, Elisabeth Roxane M.
- Venue: arXiv preprint, cs.AI
- Subjects: 282,511 PSG recordings from 26 cohorts (235,865 used for pretraining); counts reported as recordings, not subjects
- Signals: EEG, EOG, EMG, ECG, respiration, PPG, ACC
Models
Datasets used in this work
- DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology