脈波波形特徴量のPLS回帰によるCAVI血管年齢推定

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: 2019/06/01

タイトル(英語): Estimating of CAVI-Based Vascular Age using Photoplethysmography Waveform Feature

著者名: 藤田　大輔（和歌山大学システム工学部），鈴木　新（和歌山大学システム工学部），劉　和輝（金井病院）

著者名(英語): Daisuke Fujita (Faculty of Systems Engineering, Wakayama University), Arata Suzuki (Faculty of Systems Engineering, Wakayama University), Kazuteru Ryu (Kanai Hospital)

キーワード: 光電容積脈波，心臓足首血管指数，血管年齢，PLS回帰，特徴抽出　　photoplethysmogram，cardio ankle vascular index，vascular age，partial least squares regression，feature extraction

要約(英語): This paper proposes a method to estimate the vascular age from the reflected photoplethysmogram (PPG) waveform. Mobile devices such as smartphones are rapidly penetrating daily life, and health management using them is expected. This paper deals with a method of estimating the vascular age using a reflective PPG sensor attached to a mobile device. In the proposed method, contour lines are drawn on the PPG and the derivative PPG waveform, and features are extracted from them. Since many features are extracted, the influences of multicollinearity are concerned. Therefore, partial least squares regression which is not affected by multicollinearity was used as an estimation method. We compared the estimation accuracy with the conventional method using height ratio feature.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.6 （2019） 特集：ビジネスシステムイノベーション

本誌掲載ページ: 711-718 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/139/6/139_711/_article/-char/ja/