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THIM 可穿戴设备估计睡眠潜伏期的准确性。

The accuracy of the THIM wearable device for estimating sleep onset latency.

机构信息

College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.

College of Medicine and Public Health, Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, Flinders University, Adelaide, Australia.

出版信息

J Clin Sleep Med. 2021 May 1;17(5):973-981. doi: 10.5664/jcsm.9070.

Abstract

STUDY OBJECTIVES

THIM is a wearable device designed to accurately estimate sleep onset. This article presents 2 studies that tested the original (study 1) and a refined (study 2) THIM algorithm against polysomnography (PSG) for estimating sleep onset latency.

METHODS

Twelve (study 1) and 20 (study 2) individuals slept in the laboratory on 2 nights where participants underwent THIM-administered sleep onset trials with simultaneous PSG recording. Participants attempted to fall asleep while using THIM, which woke them once it determined sleep onset.

RESULTS

In study 1, there was no significant difference between PSG (mean = 1.94 minutes, SD = 1.32) and THIM sleep onset latency (mean = 2.05 minutes, SD = 1.38) on the first or second night (P > .07). There were moderate correlations between PSG and THIM on both nights [r > .57, P < .001]. In 23.74% of trials, PSG sleep onset could not be determined before THIM ended the trial. With a revised THIM algorithm in study 2, there was no significant difference between PSG (mean = 3.41 minutes, SD = 2.21) and THIM sleep onset latency (mean = 3.65 minutes, SD = 2.18) (P = .25). There was strong correspondence between the two devices [r > .73, P < .001], narrow levels of agreement on Bland-Altman plots, and significantly fewer trials where PSG sleep onset had not occurred (10.24%), P = .04.

CONCLUSIONS

THIM showed a high degree of correspondence and agreement with PSG for estimating sleep onset latency. Future research will investigate whether THIM is accurate with an insomnia sample for clinical purposes.

摘要

研究目的

THIM 是一种可穿戴设备,旨在准确估计睡眠潜伏期。本文介绍了两项研究,这些研究使用多导睡眠图(PSG)对原始(研究 1)和改进(研究 2)THIM 算法进行了测试,以估计睡眠潜伏期。

方法

12 名(研究 1)和 20 名(研究 2)个体在实验室中睡眠两晚,在此期间,参与者接受了 THIM 进行的睡眠潜伏期试验,并同时进行了 PSG 记录。参与者在使用 THIM 时试图入睡,当它确定睡眠开始时,THIM 会唤醒他们。

结果

在研究 1 中,第一晚和第二晚 PSG(平均值= 1.94 分钟,SD= 1.32)和 THIM 睡眠潜伏期(平均值= 2.05 分钟,SD= 1.38)之间没有显著差异(P >.07)。两晚之间 PSG 和 THIM 之间存在中度相关性[r >.57,P <.001]。在 23.74%的试验中,在 THIM 结束试验之前,无法确定 PSG 的睡眠开始。在研究 2 中使用了改进的 THIM 算法,PSG(平均值= 3.41 分钟,SD= 2.21)和 THIM 睡眠潜伏期(平均值= 3.65 分钟,SD= 2.18)之间没有显著差异(P =.25)。两种设备之间具有很强的对应关系[r >.73,P <.001],Bland-Altman 图上的一致性水平很窄,并且 PSG 睡眠开始没有发生的试验明显减少(10.24%),P =.04。

结论

THIM 在估计睡眠潜伏期方面与 PSG 具有高度的一致性和一致性。未来的研究将调查 THIM 是否针对临床目的对失眠样本准确。

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