Hypnos: Learning Generalisable Representations of Sleep Physiology via Next-Token Prediction

Hypnos is a multi‑modal sleep foundation model that learns generalisable representations of physiological signals by predicting the next token across eight sensing modalities (EEG, ECG, respiratory, etc.) using an auto‑regressive RQ‑Transformer. Trained on over 20,000 overnight polysomnography recordings, it outperforms existing foundation models on most benchmarks, matching strong supervised baselines for sleep‑stage classification while requiring 100× less labelled data. Additionally, Hypnos generalises beyond sleep, surpassing a dedicated ECG model in atrial fibrillation detection.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• llms
• rag
• efficiency
• multimodal
• benchmarks