Miyashita Toshinori, Kudo Shintarou, Maekawa Yoshihiro
Graduate School of Health Science, Morinomiya University of Medical Science: 1-26-16 Nankoukita, Suminoe-ku, Osaka-shi, Osaka 559-8611, Japan.
Department of Physical Therapy, Morinomiya University of Medical Sciences, Japan.
J Phys Ther Sci. 2019 Apr;31(4):354-359. doi: 10.1589/jpts.31.354. Epub 2019 Apr 1.
[Purpose] The purpose of this study was to develop an assessment tool that reflects the ankle function during the terminal stance of gait using an inertial sensor. [Participants and Methods] Thirteen healthy males (20 limbs) participated in this study. All the participants were required to perform five straight-line walking trials along a 10-m level walkway. During the terminal stance phase, both the anterior-posterior and vertical accelerations were measured with an inertial sensor mounted on the fibular head. The Pythagorean theorem was used to calculate the acceleration vector. A three-dimensional gait analysis system was used for movement data acquisition. All statistical analyses were performed using IBM SPSS Statistics 24.0 for Windows. [Results] Results were obtained using the following multiple regression equation for the estimation of ankle plantar flexion power: Estimated Ankle Power=-4.689 + 0.269 × vertical acceleration + 0.104 × body weight. [Conclusion] Our novel method for gait analysis using an inertial sensor can assess the ankle power during the terminal stance phase of gait.
[目的]本研究旨在开发一种利用惯性传感器反映步态末期站立阶段踝关节功能的评估工具。[参与者与方法]13名健康男性（20条肢体）参与了本研究。所有参与者均需沿着10米长的水平通道进行5次直线行走试验。在末期站立阶段，使用安装在腓骨头的惯性传感器测量前后向和垂直加速度。利用勾股定理计算加速度矢量。使用三维步态分析系统采集运动数据。所有统计分析均使用适用于Windows的IBM SPSS Statistics 24.0进行。[结果]使用以下多元回归方程获得用于估计踝关节跖屈力量的结果：估计踝关节力量 = -4.689 + 0.269×垂直加速度 + 0.104×体重。[结论]我们使用惯性传感器进行步态分析的新方法能够评估步态末期站立阶段的踝关节力量。
