Non-constraining sleep/wake monitoring system using bed actigraphy

BH Choi, JW Seo, JM Choi, HB Shin, JY Lee… - Medical & biological …, 2007 - Springer
BH Choi, JW Seo, JM Choi, HB Shin, JY Lee, DU Jeong, KS Park
Medical & biological engineering & computing, 2007Springer
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 …
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.
Springer
以上显示的是最相近的搜索结果。 查看全部搜索结果