活动记录
多导睡眠图
睡眠起始潜伏期
睡眠开始
睡眠(系统调用)
可穿戴计算机
延迟(音频)
计算机科学
睡眠阶段
医学
白天过度嗜睡
可穿戴技术
物理医学与康复
失眠症
脑电图
睡眠障碍
精神科
嵌入式系统
操作系统
电信
作者
Hannah Scott,Leon Lack,Nicole Lovato
标识
DOI:10.1016/j.smrv.2019.101227
摘要
The accurate estimation of sleep onset is required for many purposes, including the administration of a behavioural treatment for insomnia called Intensive Sleep Retraining, facilitating power naps, and conducting objective daytime sleepiness tests. Specialised equipment and trained individuals are presently required to administer these applications in the laboratory: a costly and impractical procedure which limits their utility in practice. A wearable device could be used to administer these applications outside the laboratory, increasing accessibility. This systematic review aimed to identify practical wearable devices that accurately estimate sleep onset. The search strategy identified seventy-one articles which compared estimations of sleep onset latency from wearable devices against polysomnography (PSG). Actigraphy devices produced average estimations of sleep onset latency that were often not significantly different from PSG, but there was large inter-individual variability depending on participant characteristics. As expected, electroencephalography-based devices produced more accurate and less variable estimates. Devices that measured behavioural aspects of sleep onset consistently overestimated PSG-determined sleep onset latency, but to a comparatively low degree. This sleep measurement method could be deployed in a simple wearable device to accurately estimate sleep onset and administer Intensive Sleep Retraining, power naps, and objective daytime sleepiness tests outside the laboratory setting.
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