期刊
PHYSIOLOGY & BEHAVIOR
卷 72, 期 1-2, 页码 21-28出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0031-9384(00)00355-3
关键词
actillume; actigraph; acceleration; polysomnography; validation; postmenopausal
资金
- NHLBI NIH HHS [HL55983] Funding Source: Medline
- NIA NIH HHS [AG123G4, AG15763] Funding Source: Medline
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL055983] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [R01AG015763] Funding Source: NIH RePORTER
Two validation studies were conducted to optimize the sleep-detection algorithm of the Actillume, The first study used home recordings of postmenopausal women (age range: 51 to 77 years), which were analyzed to derive the optimal algorithm for detecting sleep and wakefulness from wrist activity data, both for nocturnal in-bed recordings and considering the entire 24 h. The second study explored the optimal algorithm to score in-bed recordings of healthy young adults (age range: 19 to 34 years) monitored in the laboratory. Tn Study I, the algorithm for in-bed recordings (n=39) showed a minute-by-minute agreement of 85% between Actillume and polysomnography (PSG), a correlation of .98, and a mean measurement error (ME) of 21 min for estimates of sleep duration. Using the same algorithm to score 24-h recordings with Webster's rules, an agreement: of 89%, a correlation of .90, and 1 min ME were observed. A different algorithm proved optimal to score in-bed recordings (n = 31) of young adults, yielding an agreement of 91%, a correlation of .92, and an ME of 5 min. The strong correlations and agreements between sleep estimates from Actillume and PSG in both studies suggest that the Actillume can reliably monitor sleep and wakefulness both in community-residing elderly and healthy young adults in the laboratory. However, different algorithms are optimal for individuals with different characteristics. (C) 2001 Elsevier Science Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据