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A systematic review of the accuracy of sleep wearable devices for estimating sleep onset

机译:对睡眠型装置精度进行系统审查,估计睡眠发作

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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. (C) 2019 Elsevier Ltd. All rights reserved.
机译:对于许多目的需要精确估计睡眠发作,包括给予失眠的行为治疗,称为密集睡眠刷新,促进电力小睡,并进行客观的白天嗜睡试验。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:一种昂贵和不切实际的程序,限制了他们在实践中的效用。可穿戴设备可用于在实验室外部管理这些应用,增加可访问性。该系统审查旨在识别准确估计睡眠发作的实用可穿戴设备。搜索策略鉴定了七十一条制品,其比较了从可穿戴设备抵抗多仪器造影(PSG)的睡眠起始延迟的估计。 Atigraphy设备产生的睡眠起始潜伏期的平均估计通常与PSG没有显着不同,但根据参与者特征,具有大的间间可变性。正如预期的那样,基于脑电图的设备产生更准确和更少的可变估计。测量睡眠起源的行为方面的设备始终如一地高估PSG确定的睡眠起始延迟,但是对相对低的程度。该睡眠测量方法可以在简单的可穿戴设备中部署,以准确估计睡眠发作,并在实验室设置之外施用密集的睡眠再培训,电源下降和客观白天嗜睡测试。 (c)2019年elestvier有限公司保留所有权利。

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