Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks
Automated sleep staging assigns discrete stage labels to successive time epochs throughout an overnight recording; conventionally each window spans at least 30 seconds, reflecting the minimum temporal resolution of the clinical scoring standard. Wearable photoplethysmography (PPG) has attracted sustained interest as an ambulatory alternative to laboratory-based polysomnography, which relies on electroencephalography (EEG) and other recording modalities that are impractical outside clinical environments. Yet PPG-based staging trails EEG-based methods by a substantial margin, and we argue this gap largely reflects a mismatch between signal and task. Within a stable stage, PPG's inter-stage ...
| Authors | Shuntian Zheng, Jiawei Wang, Cong Fu et al. |
|---|---|
| Primary category | cs.HC |
| Published | 2 August 2026 |
| Last updated at source | 2 August 2026 |
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