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一种使用新型活动记录仪确定睡眠/觉醒状态算法的有效性

Validity of an algorithm for determining sleep/wake states using a new actigraph.

作者信息

Nakazaki Kyoko, Kitamura Shingo, Motomura Yuki, Hida Akiko, Kamei Yuichi, Miura Naoki, Mishima Kazuo

机构信息

Department of Psychophysiology, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-higashi, Kodaira, Tokyo 187-8553, Japan.

出版信息

J Physiol Anthropol. 2014 Oct 4;33(1):31. doi: 10.1186/1880-6805-33-31.

Abstract

BACKGROUND

This study aimed to develop an algorithm for determining sleep/wake states by using chronological data on the amount of physical activity (activity intensity) measured with the FS-750 actigraph, a device that can be worn at the waist, allows for its data to be downloaded at home, and is suitable for use in both sleep research and remote sleep medicine.

METHODS

Participants were 34 healthy young adults randomly assigned to two groups, A (n =17) and B (n =17), who underwent an 8-hour polysomnography (PSG) in the laboratory environment. Simultaneous activity data were obtained using the FS-750 attached at the front waist. Sleep/wake state and activity intensity were calculated every 2 minutes (1 epoch). To determine the central epoch of the sleep/wake states (x), a five-variable linear model was developed using the activity intensity of Group A for five epochs (x-2, x-1, x, x+1, x+2; 10 minutes). The optimal coefficients were calculated using discriminant analysis. The agreement rate of the developed algorithm was then retested with Group B, and its validity was examined.

RESULTS

The overall agreement rates for group A and group B calculated using the sleep/wake score algorithm developed were 84.7% and 85.4%, respectively. Mean sensitivity (agreement rate for sleep state) was 88.3% and 90.0% and mean specificity (agreement rate for wakeful state) was 66.0% and 64.9%, respectively. These results confirmed comparable agreement rates between the two groups. Furthermore, when applying an estimation rule developed for the sleep parameters measured by the FS-750, no differences were found in the average values between the calculated scores and PSG results, and we also observed a correlation between the two sets of results. Thus, the validity of these evaluation indices based on measurements from the FS-750 is confirmed.

CONCLUSIONS

The developed algorithm could determine sleep/wake states from activity intensity data obtained with the FS-750 with sensitivity and specificity equivalent to that determined with conventional actigraphs. The FS-750, which is smaller, less expensive, and able to take measurements over longer periods than conventional devices, is a promising tool for advancing sleep studies at home and in remote sleep medicine.

摘要

背景

本研究旨在开发一种算法,通过使用FS - 750活动记录仪测量的身体活动量(活动强度)的时间顺序数据来确定睡眠/觉醒状态。FS - 750活动记录仪是一种可佩戴在腰部的设备,允许在家中下载其数据,适用于睡眠研究和远程睡眠医学。

方法

参与者为34名健康的年轻成年人,随机分为A组(n = 17)和B组(n = 17),他们在实验室环境中接受了8小时的多导睡眠图(PSG)检查。使用附着在前腰的FS - 750同时获取活动数据。每2分钟(1个时段)计算睡眠/觉醒状态和活动强度。为了确定睡眠/觉醒状态的中心时段(x),使用A组五个时段(x - 2、x - 1、x、x + 1、x + 2;10分钟)的活动强度开发了一个五变量线性模型。使用判别分析计算最佳系数。然后用B组对开发的算法的符合率进行重新测试,并检验其有效性。

结果

使用开发的睡眠/觉醒评分算法计算得出,A组和B组的总体符合率分别为84.7%和85.4%。平均敏感度(睡眠状态的符合率)分别为88.3%和90.0%,平均特异度(清醒状态的符合率)分别为66.0%和64.9%。这些结果证实了两组之间的符合率相当。此外,当应用为FS - 750测量的睡眠参数开发的估计规则时,计算得分与PSG结果之间的平均值没有差异,并且我们还观察到两组结果之间存在相关性。因此,基于FS - 750测量的这些评估指标的有效性得到了证实。

结论

开发的算法可以根据FS - 750获得的活动强度数据确定睡眠/觉醒状态,其敏感度和特异度与传统活动记录仪相当。FS - 750比传统设备更小、更便宜,并且能够进行更长时间的测量,是推进家庭睡眠研究和远程睡眠医学的有前途的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c5/4203879/f9374b9dbdd8/40101_2014_81_Fig1_HTML.jpg

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