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A systematic review of the accuracy of sleep wearable devices for estimating sleep onset.
Sleep Medicine Reviews ( IF 11.2 ) Pub Date : 2019-11-06 , DOI: 10.1016/j.smrv.2019.101227
Hannah Scott 1 , Leon Lack 2 , Nicole Lovato 3
Affiliation  

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.



中文翻译:

对用于评估睡眠发作的睡眠可穿戴设备的准确性的系统评价。

出于多种目的,需要对睡眠发作进行准确的估计,包括进行失眠的行为治疗(称为强化睡眠训练),促进小睡和进行客观的白天嗜睡测试。目前需要专门的设备和训练有素的人员在实验室中管理这些应用程序:昂贵且不切实际的程序限制了它们在实践中的实用性。可穿戴设备可用于在实验室外管理这些应用程序,从而增加了可访问性。这项系统的审查旨在确定可准确估计睡眠发作的实用可穿戴设备。搜索策略确定了71篇文章,将可穿戴设备的睡眠发作潜伏期估计值与多导睡眠图(PSG)进行了比较。书法设备对睡眠发作潜伏期的平均估计通常与PSG并无显着差异,但是个体间差异很大,具体取决于参与者的特征。不出所料,基于脑电图的设备产生了更准确,更不可变的估计值。测量睡眠发作行为方面的设备始终高估了PSG确定的睡眠发作潜伏期,但程度相对较低。可以将这种睡眠测量方法部署在简单的可穿戴设备中,以准确估计睡眠发作并在实验室设置之外进行强化睡眠训练,小睡和客观的白天嗜睡测试。但是个体差异很大,具体取决于参与者的特征。不出所料,基于脑电图的设备产生了更准确,更不可变的估计值。测量睡眠发作行为方面的设备始终高估了PSG确定的睡眠发作潜伏期,但程度相对较低。可以将这种睡眠测量方法部署在简单的可穿戴设备中,以准确估计睡眠发作并在实验室设置之外进行强化睡眠训练,小睡和客观的白天嗜睡测试。但是个体差异很大,具体取决于参与者的特征。不出所料,基于脑电图的设备产生了更准确,更不可变的估计值。测量睡眠发作行为方面的设备始终高估了PSG确定的睡眠发作潜伏期,但程度相对较低。可以将这种睡眠测量方法部署在简单的可穿戴设备中,以准确估计睡眠发作并在实验室设置之外进行强化睡眠训练,小睡和客观的白天嗜睡测试。但程度相对较低。可以将这种睡眠测量方法部署在简单的可穿戴设备中,以准确估计睡眠发作并在实验室设置之外进行强化睡眠训练,小睡和客观的白天嗜睡测试。但程度相对较低。可以将这种睡眠测量方法部署在简单的可穿戴设备中,以准确估计睡眠发作并在实验室设置之外进行强化睡眠训练,小睡和客观的白天嗜睡测试。

更新日期:2019-11-06
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