Suppr超能文献

使用静电荷敏感床检测周期性腿部运动。

Detection of periodic leg movements with a static-charge-sensitive bed.

作者信息

Rauhala E, Erkinjuntti M, Polo O

机构信息

Department of Physiology, University of Turku, Finland.

出版信息

J Sleep Res. 1996 Dec;5(4):246-50. doi: 10.1111/j.1365-2869.1996.00246.x.

Abstract

We evaluated the performance of the static-charge-sensitive bed (SCSB), a non-invasive movement sensor, in detecting nocturnal periodic movement activity using simultaneous bilateral anterior tibialis electromyography (EMGat) as a reference. Two different study setups were used, one with 500 random record extracts, another with 10 continuous recordings. The inter-rater reliability between two independent scorers was 0.92 in scoring EMGat and 0.91 in scoring SCSB. In an epoch based analysis, depending on the study setup and scorer, the sensitivity of the SCSB to detect periodic leg movements was 0.81-0.94 whereas the specificity was 0.84-0.89. In a movement-by-movement analysis, despite incomplete concordance between the two methods the total number of movements per hour were comparable. Our findings support the use of the SCSB as a non-invasive alternative to anterior tibialis EMG recordings to reveal the presence of nocturnal periodic movement activity and estimate its frequency.

摘要

我们使用双侧胫前肌肌电图(EMGat)作为参考,评估了一种非侵入性运动传感器——静电荷敏感床(SCSB)在检测夜间周期性运动活动方面的性能。采用了两种不同的研究设置,一种是500个随机记录提取物,另一种是10次连续记录。两名独立评分者之间的评分者间信度在对EMGat评分时为0.92,对SCSB评分时为0.91。在基于时段的分析中,根据研究设置和评分者的不同,SCSB检测周期性腿部运动的敏感性为0.81 - 0.94,而特异性为0.84 - 0.89。在逐次运动分析中,尽管两种方法之间存在不完全一致性,但每小时的运动总数是可比的。我们的研究结果支持使用SCSB作为胫前肌肌电图记录的非侵入性替代方法,以揭示夜间周期性运动活动的存在并估计其频率。

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