Suppr超能文献

无线干头戴式技术在健康年轻成年人睡眠监测中的多导睡眠图验证。

Polysomnographic validation of a wireless dry headband technology for sleep monitoring in healthy young adults.

机构信息

Department of Psychology, University of Bologna, Bologna, Italy.

出版信息

Physiol Behav. 2013 Jun 13;118:185-8. doi: 10.1016/j.physbeh.2013.05.036. Epub 2013 May 26.

Abstract

The present study aimed to explore the validity and reliability of a wireless dry headband technology for sleep monitoring (WS), through a comparison with concurrent polysomnographic (PSG) recording in healthy young adults. Eleven volunteers (7 females; mean age±SD: 24.75±3.62years) took part in the study, wearing the WS for two overnight PSG recordings in the sleep laboratory. The WS was compared to PSG in the identification of wake, light, deep and REM sleep. The WS sensitivity and specificity were 97.6% and 56.1%, respectively. The WS agreement with PSG, measured by Cohen's kappa, was 0.56 for light sleep, 0.70 for deep sleep, and 0.67 for REM sleep. The present results showed that the agreement ranged from moderate to high between PSG and the WS, while wakefulness detection was observed to be a limitation of the WS.

摘要

本研究旨在通过与健康年轻成年人的同期多导睡眠图(PSG)记录进行比较,探索一种用于睡眠监测的无线干头带技术(WS)的有效性和可靠性。11 名志愿者(7 名女性;平均年龄±标准差:24.75±3.62 岁)参与了这项研究,他们在睡眠实验室中佩戴 WS 进行了两次夜间 PSG 记录。WS 与 PSG 对比,以识别清醒、浅睡、深睡和 REM 睡眠。WS 在识别轻睡、深睡和 REM 睡眠方面的灵敏度和特异性分别为 97.6%和 56.1%。WS 与 PSG 的一致性,用 Cohen's kappa 测量,在轻睡时为 0.56,在深睡时为 0.70,在 REM 睡眠时为 0.67。本研究结果表明,PSG 与 WS 之间的一致性在中等至高之间,而清醒状态的检测被认为是 WS 的局限性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验