Xia Haisheng, Xu Junkai, Wang Jianren, Hunt Michael A, Shull Peter B
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada.
J Biomech. 2017 Aug 16;61:193-198. doi: 10.1016/j.jbiomech.2017.07.012. Epub 2017 Jul 25.
The foot progression angle is an important measurement related to knee loading, pain, and function for individuals with knee osteoarthritis, however current measurement methods require camera-based motion capture or floor-embedded force plates confining foot progression angle assessment to facilities with specialized equipment. This paper presents the validation of a customized smart shoe for estimating foot progression angle during walking. The smart shoe is composed of an electronic module with inertial and magnetometer sensing inserted into the sole of a standard walking shoe. The smart shoe charges wirelessly, and up to 160h of continuous data (sampled at 100Hz) can be stored locally on the shoe. For validation testing, fourteen healthy subjects were recruited and performed treadmill walking trials with small, medium, and large toe-in (internal foot rotation), small, medium, and large toe-out (external foot rotation) and normal foot progression angle at self-selected walking speeds. Foot progression angle calculations from the smart shoe were compared with measurements from a standard motion capture system. In general, foot progression angle values from the smart shoe closely followed motion capture values for all walking conditions with an overall average error of 0.1±1.9deg and an overall average absolute error of 1.7±1.0deg. There were no significant differences in foot progression angle accuracy across the seven different walking gait patterns. The presented smart shoe could potentially be used for knee osteoarthritis or other clinical applications requiring foot progression angle assessment in community settings or in clinics without specialized motion capture equipment.
足前进角是与膝关节骨关节炎患者的膝关节负荷、疼痛和功能相关的一项重要测量指标,然而目前的测量方法需要基于摄像头的运动捕捉或地面嵌入式测力板,这将足前进角评估限制在配备专门设备的场所。本文介绍了一款定制智能鞋在步行过程中估计足前进角的验证情况。该智能鞋由一个插入标准步行鞋鞋底的带有惯性和磁力感应的电子模块组成。智能鞋可无线充电,最多可在本地存储160小时的连续数据(采样频率为100Hz)。为进行验证测试,招募了14名健康受试者,让他们在跑步机上以自选步行速度进行小、中、大角度的内翻(足部内旋)、小、中、大角度的外翻(足部外旋)以及正常足前进角的步行试验。将智能鞋计算得出的足前进角与标准运动捕捉系统的测量结果进行比较。总体而言,在所有步行条件下,智能鞋得出的足前进角值与运动捕捉值紧密相符,总体平均误差为0.1±1.9度,总体平均绝对误差为1.7±1.0度。在七种不同的步行步态模式中,足前进角的准确性没有显著差异。所展示的智能鞋有可能用于膝关节骨关节炎或其他需要在社区环境或没有专门运动捕捉设备的诊所中进行足前进角评估的临床应用。