用于步态分析的移动步态监测系统

J. Bae, Kyoungchul Kong, N. Byl, M. Tomizuka
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引用次数: 52

摘要

传统的步态康复治疗无法提供异常步态运动学的定量和图形信息,而且干预策略与基本临床表现的匹配可能受到临床专业知识和经验的限制。本文提出了一种移动步态监测系统(MGMS),可帮助患者不受时间和地点限制地自我矫正步态。该系统由智能鞋、数据采集板、移动显示屏和计算系统组成。智能鞋测量到的双脚地面接触力(GCF)和正常的 GCF 模式将作为视觉反馈信息提供给患者,让他们尝试按照正常的 GCF 模式矫正步态。根据测得的 GCF 与正常 GCF 带之间的距离来量化步态异常的程度。此外,脚部 GCF 中心(CoCGF)的变化也以图形步态分析的形式提供。通过对步态障碍患者的初步试验,验证了所提出的 MGMS 的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mobile gait monitoring system for gait analysis
Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. In this paper, a mobile gait monitoring system (MGMS) is proposed, which helps patients self correct their gait without restriction of time and place. The proposed MGMS consists of Smart Shoes, a data acquisition board, a mobile display, and a computing system. Ground contact force (GCF) of the feet measured by Smart Shoes and the normal GCF patterns are provided as visual feedback information for patients to correct their gait by trying to follow the normal GCF pattern. The degree of gait abnormality is quantified based on how far the measured GCFs are from the normal GCF bands. Also the change of center of GCF (CoCGF) of the feet is provided as a graphical gait analysis. The performance of the proposed MGMS has been verified by preliminary trials with patients suffering from a gait disorder.
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