[Electromyography Analysis of Rapid Eye Movement Sleep Behavior Disorder].

Q3 Medicine Japanese Journal of Hygiene Pub Date : 2018-01-01 DOI:10.1265/jjh.73.27
Natsuko Nakano, Fumiya Kinoshita, Hiroki Takada, Meiho Nakayama
{"title":"[Electromyography Analysis of Rapid Eye Movement Sleep Behavior Disorder].","authors":"Natsuko Nakano,&nbsp;Fumiya Kinoshita,&nbsp;Hiroki Takada,&nbsp;Meiho Nakayama","doi":"10.1265/jjh.73.27","DOIUrl":null,"url":null,"abstract":"<p><p>Polysomnography (PSG), which records physiological phenomena including brain waves, breathing status, and muscle tonus, is useful for the diagnosis of sleep disorders as a gold standard. However, measurement and analysis are complex for several specific sleep disorders, such as rapid eye movement (REM) sleep behavior disorder (RBD). Usually, brain waves during REM sleep indicate an awakening pattern under relaxed conditions of skeletal and antigravity muscles. However, these muscles are activated during REM sleep when patients suffer from RBD. These activated muscle movements during REM, so-called REM without atonia (RWA) recorded by PSG, may be related to a neurodegenerative disease such as Parkinson's disease. Thus, careful analysis of RWA is significant not only physically, but also clinically. Commonly, manual viewing measurement analysis of RWA is time-consuming. Therefore, quantitative studies on RWA are rarely reported. A software program, developed from Microsoft Office Excel<sup>®</sup>, was used to semiautomatically analyze the RWA ratio extracted from PSG to compare with manual viewing measurement analysis. In addition, a quantitative muscle tonus study was carried out to evaluate the effect of medication on RBD patients. Using this new software program, we were able to analyze RWA on the same cases in approximately 15 min as compared with 60 min in the manual viewing measurement analysis. This software program can not only quantify RWA easily but also identify RWA waves for either phasic or tonic bursts. We consider that this software program will support physicians and scientists in their future research on RBD. We are planning to offer this software program for free to physicians and scientists.</p>","PeriodicalId":35643,"journal":{"name":"Japanese Journal of Hygiene","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1265/jjh.73.27","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Journal of Hygiene","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1265/jjh.73.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 1

Abstract

Polysomnography (PSG), which records physiological phenomena including brain waves, breathing status, and muscle tonus, is useful for the diagnosis of sleep disorders as a gold standard. However, measurement and analysis are complex for several specific sleep disorders, such as rapid eye movement (REM) sleep behavior disorder (RBD). Usually, brain waves during REM sleep indicate an awakening pattern under relaxed conditions of skeletal and antigravity muscles. However, these muscles are activated during REM sleep when patients suffer from RBD. These activated muscle movements during REM, so-called REM without atonia (RWA) recorded by PSG, may be related to a neurodegenerative disease such as Parkinson's disease. Thus, careful analysis of RWA is significant not only physically, but also clinically. Commonly, manual viewing measurement analysis of RWA is time-consuming. Therefore, quantitative studies on RWA are rarely reported. A software program, developed from Microsoft Office Excel®, was used to semiautomatically analyze the RWA ratio extracted from PSG to compare with manual viewing measurement analysis. In addition, a quantitative muscle tonus study was carried out to evaluate the effect of medication on RBD patients. Using this new software program, we were able to analyze RWA on the same cases in approximately 15 min as compared with 60 min in the manual viewing measurement analysis. This software program can not only quantify RWA easily but also identify RWA waves for either phasic or tonic bursts. We consider that this software program will support physicians and scientists in their future research on RBD. We are planning to offer this software program for free to physicians and scientists.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
快速眼动睡眠行为障碍的肌电分析
多导睡眠图(Polysomnography, PSG)记录脑电波、呼吸状态、肌肉张力等生理现象,是诊断睡眠障碍的金标准。然而,对于一些特定的睡眠障碍,如快速眼动(REM)睡眠行为障碍(RBD),测量和分析是复杂的。通常,快速眼动睡眠期间的脑电波表明骨骼和反重力肌肉在放松状态下的觉醒模式。然而,当患者患有RBD时,这些肌肉在快速眼动睡眠期间被激活。这些在快速眼动期间被激活的肌肉运动,即所谓的无张力快速眼动(RWA),由PSG记录,可能与神经退行性疾病,如帕金森病有关。因此,仔细分析RWA不仅在物理上,而且在临床上都很重要。通常情况下,手工查看RWA测量分析非常耗时。因此,对RWA的定量研究很少报道。利用Microsoft Office Excel®开发的软件程序,对PSG提取的RWA比进行半自动分析,并与人工观察测量分析进行比较。此外,还进行了定量肌张力研究,以评估药物对RBD患者的影响。使用这个新的软件程序,我们能够在大约15分钟内分析相同病例的RWA,而人工观察测量分析则需要60分钟。该软件不仅可以很容易地量化RWA,而且还可以识别相位或张力爆发的RWA波。我们认为该软件程序将支持医生和科学家对RBD的未来研究。我们计划免费向医生和科学家提供这个软件程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Japanese Journal of Hygiene
Japanese Journal of Hygiene Medicine-Medicine (all)
CiteScore
0.90
自引率
0.00%
发文量
7
期刊最新文献
[Development of a Comprehensive Health Literacy Scale and Relationship between Health Literacy and Health-Related Behaviors among Japanese Workers]. [To the memory of the late Dr. Akira Okada]. [Awareness of issues in research and educational activities and expectations for young researchers' activities and supporting]. [Health Idea from Altruistic Perspective]. [Responses to "A Review of the Book 'Minamata Disease and the Responsibility of Medical Authorities'"].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1