ネックバンド型呼吸モニタリングシステムによる無呼吸・低呼吸の自動検出
ネックバンド型呼吸モニタリングシステムによる無呼吸・低呼吸の自動検出
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: 2016/12/01
タイトル(英語): Automatic Detection of Apnea-hypopnea by Throat Sound Measurement System
著者名: 浦南 翔一(大阪電気通信大学大学院),酒井 徳昭(京都岡本記念病院 臨床工学科),大石 利光(大阪電気通信大学大学院),松村 雅史(大阪電気通信大学大学院)
著者名(英語): Shoichi Uraminami (Osaka Electro-Communication University Graduate School), Noriaki Sakai (Department of Clinical Engineering, Kyoto Okamoto Memorial Hospital), Toshimitsu Oishi (Osaka Electro-Communication University Graduate School), Masafumi Matsumura (Osaka Electro-Communication University Graduate School)
キーワード: 口腔咽喉音,無呼吸・低呼吸,ネックバンド throat sound,apnea-hypopnea,Neckband Device
要約(英語): In Japan, the number of latent patients of OSAHS (obstructive sleep apnea-hypopnea syndrome) is more than two million. But, only 20% of this number has undergone medical examination for OSAHS. Also, the inspection methods employed are polysomnography and simple polygraphy, which involve several sensors and electrodes and hence cause considerable inconvenience to the patient. To address this issue, in this study, we developed a throat sound measurement system. This system has a contact-type microphone attached to the neck and measures the sound at the time of breath (throat sound). I have already demonstrated that throat sounds are closely correlated with nasal airflow. In this study, I detected apnea-hypopnea using the developed throat sound measurement system. I formulated three methods of automatic detection and termed them "Time Interval of Peaks," "Moving Average," and "Binary Digit." I determined the detection rate and undetection rate of these methods. Six healthy subjects participated in this study. In addition, I examined whether this system automatically detected Apnea-Hypopnea of OSAHS. The analysis results for the healthy subjects showed the combined detection rate of the methods to be 100%. The undetection rates of "Time Interval of Peaks," "Moving Average," and "Binary Digit" were 8.6%, 14.5%, and 10.2%, respectively. Further, with regard to the OSAHS analysis, the combined detection rate of the methods was 100%. The undetection rates of "Time Interval of Peaks" and "Binary Digit" were both 0%. The undetection rate of "Moving Average" was 9.1%. Based on the above-mentioned results, I believe that the developed system is effective in OSAHS detection.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.136 No.12 (2016) 特集Ⅰ:電気・電子・情報関係学会東海支部連合大会 特集Ⅱ:国際会議ACIS 2014/2015
本誌掲載ページ: 1797-1803 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/136/12/136_1797/_article/-char/ja/
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