273 Automatic sleep staging with photoplethysmography and accelerometer in a community-based population. (3rd May 2021)

• Record Type: Journal Article
• Authors: Lee, Pei-Lin; Ting, Nettie; Lin, Yu-Cheng; Chiu, Hung-Chih; Liu, Yu-Ting; Ku, Bo-Wen
• Is Part Of: Sleep. Volume 44(2021)Supplement 2
• Page Start: A109
• Page End: A109
• Publication Date: 2021-05-03
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsab072.272
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: The study aims to validate the automatic sleep staging system (ASSS) with photoplethysmography (PPG) and accelerometers embedded in smart watches in community-based population Methods: 75 healthy subjects were randomly recruited form 304 staffs in an industrial firm who volunteered for this study. A four-stage classifier was designed based on Linear Discriminant Analysis using PPG and accelerometers. To better validate the system performance, the leave-one-out approach was applied in this study. The performance of ASSS was assessed with the epoch-by-epoch and whole-night agreement for sleep staging against manual scoring of overnight polysomnography. Results: The mean agreement of four stages across all subjects was 61.1% (95% CI, 58.9-63.2) with kappa 0.55 (0.52-0.58). The mean agreement for wake, light sleep (LS), deep sleep (DS), and REM was 53.4%, 84.1%, 40.3%, 75.6%, respectively. The whole-night agreement was good-excellent (Intra-class correlation coefficient, 0.74 to 0.84) for total sleep time, sleep efficiency, wake after sleep onset, and duration of wake and REM. The agreement was fair for sleep onset and LS duration, but poor for DS duration. Conclusion: Our result showed that PPG and accelerometers based smart watches have proper validity for automatic sleep staging in the community-based population. Support (if any): "Center for electronics technology integration (NTU-107L900502, 108L900502, 109-2314-B-002-252)" from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan; MediaTek Inc (201802034 RIPD).