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使用自动算法的ActiGraph GT3X+以及Actical手腕和臀部佩戴式加速度计用于幼儿睡眠和觉醒指数:与多导睡眠图的验证

ActiGraph GT3X+ and Actical Wrist and Hip Worn Accelerometers for Sleep and Wake Indices in Young Children Using an Automated Algorithm: Validation With Polysomnography.

作者信息

Smith Claire, Galland Barbara, Taylor Rachael, Meredith-Jones Kim

机构信息

Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.

Department of Medicine, University of Otago, Dunedin, New Zealand.

出版信息

Front Psychiatry. 2020 Jan 14;10:958. doi: 10.3389/fpsyt.2019.00958. eCollection 2019.

Abstract

Our count-scaled algorithm automatically scores sleep across 24 hours to process sleep timing, quantity, and quality. The aim of this study was to validate the algorithm against overnight PSG in children to determine the best site placement for sleep. 28 children (5-8 years) with no history of sleep disturbance wore two types of accelerometers (ActiGraph GT3X+ and Actical) at two sites (left hip, non-dominant wrist) for 24-h. Data were processed using the count-scaled algorithm. PSG data were collected using an in-home Type 2 device. PSG-actigraphy epoch sensitivity (sleep agreement) and specificity (wake agreement) were determined and sleep outcomes compared for timing (onset and offset), quantity [sleep period time (SPT) and total sleep time (TST)], and quality metrics [sleep efficiency and waking after sleep onset (WASO)]. Overall, sensitivities were high (89.1% to 99.5%) and specificities low (21.1% to 45.7%). Sleep offset was accurately measured by actigraphy, regardless of brand or placement site. By contrast, sleep onset agreed with PSG using hip-positioned but not wrist-positioned devices (difference ActiGraph : PSG 21 min, P < .001; Actical : PSG 14 min, P < .001). The ActiGraph at the wrist accurately detected WASO and sleep efficiency, but under (-34 min, P < .001) and overestimated (5.8%, P < .001) these at the hip. The Actical under- and over-estimated these variables respectively at both sites. Results for TST varied ranging from significant differences to PSG of -26 to 21 min (ActiGraph wrist and hip respectively) and 9 min (ns) to 59 min for Actical (wrist and hip respectively). Overall the count-scaled algorithm produced high sensitivity at the expense of low specificity in comparison with PSG. A best site placement for estimates of sleep variables could not be determined, but overall the results suggested ActiGraph GT3X+ at the hip may be superior for sleep timing and quantity metrics, whereas the wrist may be superior for sleep quality metrics. Both devices placed at the hip performed well for sleep timing but not for sleep quality. Differences are likely linked to freedom of movement of the wrist the trunk (hip) during overnight sleep.

摘要

我们的计数缩放算法会自动对24小时的睡眠进行评分,以处理睡眠时间、睡眠量和睡眠质量。本研究的目的是将该算法与儿童夜间多导睡眠图(PSG)进行验证,以确定睡眠监测的最佳部位。28名无睡眠障碍病史的儿童(5 - 8岁)在两个部位(左髋部、非优势手腕)佩戴两种类型的加速度计(ActiGraph GT3X+和Actical),持续24小时。数据使用计数缩放算法进行处理。PSG数据使用家用2型设备收集。确定PSG - 体动记录仪的时段敏感性(睡眠一致性)和特异性(清醒一致性),并比较睡眠结果的时间(入睡和起床时间)、睡眠量[睡眠时间(SPT)和总睡眠时间(TST)]以及质量指标[睡眠效率和睡眠开始后觉醒(WASO)]。总体而言,敏感性较高(89.1%至99.5%),特异性较低(21.1%至45.7%)。无论品牌或放置部位如何,体动记录仪都能准确测量起床时间。相比之下,使用髋部放置而非手腕放置的设备时,入睡时间与PSG一致(ActiGraph与PSG的差异为21分钟,P < .001;Actical与PSG差异为14分钟,P < .001)。手腕处的ActiGraph能准确检测WASO和睡眠效率,但在髋部则低估(-34分钟,P < .001)和高估(5.8%,P < .001)这些指标。Actical在两个部位均分别低估和高估了这些变量。TST的结果差异较大,ActiGraph手腕和髋部分别与PSG的差异为-26至21分钟,Actical手腕和髋部分别为9分钟(无显著性差异)至59分钟。总体而言,与PSG相比,计数缩放算法以低特异性为代价产生了高敏感性。无法确定睡眠变量估计的最佳部位放置,但总体结果表明,髋部的ActiGraph GT3X+在睡眠时间和睡眠量指标方面可能更优,而手腕在睡眠质量指标方面可能更优。两个设备放置在髋部时在睡眠时间方面表现良好,但在睡眠质量方面则不然。差异可能与夜间睡眠期间手腕和躯干(髋部)的活动自由度有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05eb/6970953/317c9ac79cec/fpsyt-10-00958-g001.jpg

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