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Non-constraining sleep/wake monitoring system using bed actigraphy
Authors:Byoung Hoon Choi  Jin Woo Seo  Jong Min Choi  Hong Bum Shin  Joo Young Lee  Do Un Jeong  Kwang Suk Park
Affiliation:(1) Interdisciplinary Program in Medical and Biological Engineering, Seoul National University, Graduate School, Seoul, Republic of Korea;(2) Department of Neuropsychiatry, Division of Sleep Studies, Clinical Research Institute, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea;(3) Department of Biomedical Engineering, Seoul National University College of Medicine, 28 Yungun-dong, Chongno-gu, Seoul, Republic of Korea;(4) Advanced Biometric Research Center, 28 Yungun-dong, Chongno-gu, Seoul, Republic of Korea;(5) Seoul National University Hospital, Rm. #6628, 28 Yungun-dong, Chongno-gu, Seoul, Republic of Korea
Abstract:This paper introduces a new method, bed actigraphy (BACT) for user-friendly sleep-wake monitoring. BACT provides a non-intrusive acquisition of activity data, and in particular does not require that sensors be attached to the subject’s body. The system consists of four load-sensing cells supporting the bed, an A/D converter, and a microcontroller with appropriate software. The performance of BACT was compared to that of standard polysomnography (PSG) recordings and wrist-worn actigraphy (ACT). Ten normal volunteers underwent overnight PSG recordings and were examined simultaneously with BACT and ACT. An automatic scoring algorithm scored each 30-s epoch of the BACT recordings for either ‘Wake’ or ‘Sleep.’ A sleep specialist manually scored the PSG recordings, and the results were divided into ‘Wake’ and ‘Sleep’ categories. The three methods showed a significant correlation when compared with in the contingency test. The mean epoch-by-epoch agreements between the BACT and PSG, ACT and PSG, and BACT and ACT recordings were 95.2, 92.9, and 94.3%, respectively. The mean absolute differences in sleep percentage (SP) between them were 1.8 ± 0.82, 3.4 ± 1.45, and 1.9 ± 1.16 %, respectively. BACT differentiation of the ‘Wake’ and ‘Sleep’ stages proved to be sufficiently robust, and its results were comparable to PSG analysis. This finding supports the experimental and clinical value of bed-activity monitoring during sleep.
Keywords:Sleep  Sleep stages  Polysomnography  Actigraphy  Load cell  Bed-actigraphy
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