GPSおよび加速度データからの高齢者に共通の身体活動場所の抽出法

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: 2024/04/01

タイトル(英語): A Method for Extracting Common Physical Activity Locations among Older People from GPS and Accelerometer Data

著者名: 福岡　豊（工学院大学工学部電気電子工学科／東京医科大学公衆衛生学分野），西澤　颯大（工学院大学工学部電気電子工学科），西沢　エリック辰哉（工学院大学工学部電気電子工学科），天笠　志保（東京医科大学公衆衛生学分野／帝京大学大学院公衆衛生学研究科），村山　洋史（東京都健康長寿医療センター研究所），藤原　武男（東京医科歯科大学大学院医歯学総合研究科），井上　茂（東京医科大学公衆衛生学分野），菖蒲川　由郷（新潟大学大学院医歯学総合研究科）

著者名(英語): Yutaka Fukuoka (Department Electric and Electronic Engineering, Kogakuin University/Department of Preventive Medicine and Public Health, Tokyo Medical University), Hayato Nishizawa (Department Electric and Electronic Engineering, Kogakuin University), Eric Tatsuya Nishizawa (Department Electric and Electronic Engineering, Kogakuin University), Shiho Amagasa (Department of Preventive Medicine and Public Health, Tokyo Medical University/Graduate School Public Health, Teikyo University), Hiroshi Murayama (Tokyo Metropolitan Institute for Geriatrics and Gerontology), Takeo Fujiwara (Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University), Shigeru Inoue (Department of Preventive Medicine and Public Health, Tokyo Medical University), Yugo Shobugawa (Graduate School of Medical and Dental Sciences, Niigata University)

キーワード: 高齢者，GPS，身体活動場所，クラスタリング，k means法　　older people，GPS (Global Positioning System)，location of physical activity，clustering，k means method

要約(英語): Spatial data from a portable GPS logger have the potential to allow objective monitoring of locations where physical activity is taking place in a community. However, few studies have identified common physical activity locations visited by many people. This study aimed to propose a method for extracting such locations using GPS and accelerometer data using the k means method. The validity of the proposed method was examined using simulation data and then the method was applied to actual data obtained in a previous study. The participants in the previous study were healthy older people who wore GPS loggers and accelerometers for seven consecutive days. The k means method with various k was applied to the combined data of GPS and accelerometer to extract physical activity locations common to some participants. Simulation results indicated that the proposed method was able to extract locations where many participants performed physical activity of 3.0 METs or more. The results using the actual data from 50 participants also showed the validity of the proposed method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.4 （2024） 特集Ⅰ：量子・情報・エレクトロニクスの医療/ヘルスケア応用　特集Ⅱ：電子回路関連技術

本誌掲載ページ: 309-315 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/144/4/144_309/_article/-char/ja/