REM睡眠行動障害の判別アルゴリズムに関する研究
REM睡眠行動障害の判別アルゴリズムに関する研究
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2018/08/01
タイトル(英語): A study on Classification Algorithm of REM Sleep Behavior Disorder
著者名: 木下 史也(富山県立大学工学部 電子・情報工学科),高田 宗樹(福井大学大学院工学研究科 知能システム工学専攻),中山 明峰(名古屋市立大学 耳鼻咽喉科&睡眠医療センター)
著者名(英語): Fumiya Kinoshita (Department of Electrical & Computer Engineering, Faculty of Engineering, Toyama Prefectural University), Hiroki Takada (Department of Human & Artificial Intelligent System, Graduate School of Engineering, University of Fukui), Meiho Naka
キーワード: レム睡眠行動障害(RBD),睡眠ポリグラフ検査(PSG),筋活動低下を伴わないレム睡眠(RWA) REM sleep behavior disorder,Polysomnography,REM sleep without atonia
要約(英語): Sleep disorders are modern diseases that have recently increased in prevalence. In particular, the rapid-eye-movement (REM) sleep behavior disorder (RBD) is well-known. As a hallmark of the RBD, we can find the loss of skeletal muscle atonia during the REM sleep, which is called the REM sleep without atonia (RWA), in the polysomnography (PSG). Therefore, measurement of muscle activity is required for the diagnosis of RBD. Although close follow-up of patients' recovery process is required and several visual inspection methods have been developed for the PSG reading, clear diagnostic criteria for assessing RBD severity have not been established because of the complicated nature of the procedure. In this study, the author constructed automated algorithms based on the AASM (American Academy of Sleep Medicine) scoring manual. The percentage ratio of RWA in the REM sleep period was calculated by the algorithms. The results evaluated by the automated algorithms were compared to the diagnosis by the visual inspection method. In addition, nonlinear discriminant analysis was employed to examine whether the healthy subjects group was significantly different from the group of suspected RBD patients. The author has succeeded in finding an automated algorithm to yield results that are not significantly different from those of visual inspection diagnosis.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.138 No.8 (2018) 特集:人間と情報を繋ぐ情報システム
本誌掲載ページ: 964-969 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/8/138_964/_article/-char/ja/
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