A systematic evaluation of window lengths for photoplethysmography-based sleep staging

Three-class PPG sleep staging systematically compared across five window lengths (3.5–50.5 min) for near-real-time / short-term use rather than overnight-only pipelines. Both 10.5- and 25.5-min windows effective; 25.5-min yielded highest κ among evaluated lengths (κ = 0.812); 10.5-min positioned for rapid assessment and daytime naps.

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Sleep is vital for maintaining physiological functions and mental health. While photoplethysmography (PPG) from wearable devices offers a feasible solution for home-based sleep monitoring, existing methods primarily rely on overnight data acqui- sition, limiting their applicability in real-time sleep interventions. This study presents a three-class sleep staging framework based on short-term PPG signals, systematically investigating the staging performance across five different window lengths (3.5–50.5 min). Both 10.5-minute and 25.5-minute windows achieve effective sleep staging, with the 25.5-minute window delivering the highest Kappa among the evaluated window lengths (Kappa = 0.812). The shorter 10.5-minute window is suitable for rapid sleep quality assessment and daytime nap monitoring, while the 25.5-minute window is recommended for nocturnal sleep analysis and clinical screening, where higher stability is preferred for nocturnal sleep analysis and clinical screening. This work establishes a technical foundation for implementing timely sleep interventions on wearable devices, promoting the effective integration of health wearables into connected healthcare systems.

Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0

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