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ワイヤレスモーションセンサによる健常高齢者と要支援者における下肢運動機能の評価

ワイヤレスモーションセンサによる健常高齢者と要支援者における下肢運動機能の評価

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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: 2012/01/01

タイトル(英語): Evaluation of Lower Limb Motor Function Using Wireless Motion Sensors―A Comparison of Normal Elderly Subjects and those Requiring Support Level 1

著者名: 三好 寿顕(シャープ(株)),沼田 崇之(千葉大学大学院工学研究科),桑江 豊(千葉大学大学院工学研究科/(社) 八日会大悟病院),関根 正樹(千葉大学大学院工学研究科),辻 美和((社) 八日会大悟病院),岡部 一郎(シャープ(株)),原 圭太(シャープ(株)),藤元 登四郎((社) 八日会藤元早鈴病院),田村 俊世(千葉大学大学院工学研究科)

著者名(英語): Hiroaki Miyoshi (Sharp Corporation), Takayuki Numata (Graduate School of Engineering, Chiba University), Yutaka Kuwae (Graduate School of Engineering, Chiba University/Daigo Hospital), Masaki Sekine (Graduate School of Engineering, Chiba University), Miwa Tsuji (Daigo Hospital), Ichiro Okabe (Sharp Corporation), Keita Hara (Sharp Corporation), Toshiro Fujimoto (Fujimoto Hayasuzu Hospital), Toshiyo Tamura (Graduate School of Engineering, Chiba University)

キーワード: 高齢者,歩行,足踏み運動,定量的評価,ワイヤレスモーションセンサ  elderly people,gait,stepping,quantitative assessment,wireless motion sensor

要約(英語): This study quantitatively compared lower limb motility of normal subjects and those requiring support level 1 (support_1). We developed a wireless inertia sensor with an embedded tri-axial accelerometer and angular velocity sensor. Six normal elderly subjects and ten elderly subjects who were classified as support_1 by the Japanese care insurance system participated in the study. We attached the wireless motion sensors to the center of the lower back and both thighs in the subjects. Subjects were then asked to walk 10 m and perform a stepping exercise. For the evaluation, the cadence, pitch angle, and pitch angular velocity of the thigh auto-correlation function and root mean square (RMS) on the lower back were calculated. The autocorrelation coefficient function for the support_1 subjects was smaller than in the normal subjects, while the RMS was larger in support_1. These differences indicated that the gait and balance abilities of the support_1 subjects were poorer than those of the normal subjects. This suggests that our wireless motion sensor is useful for assessing the motility of the lower limbs while walking and climbing steps.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.132 No.1 (2012) 特集:確率的最適化と機械学習の統計的設計と応用

本誌掲載ページ: 104-110 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/132/1/132_1_104/_article/-char/ja/

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