刚度
运动学
等长运动
关节刚度
步态
肌电图
计算机科学
步态分析
膝关节
肌肉僵硬
模拟
控制理论(社会学)
物理医学与康复
工程类
结构工程
物理
人工智能
医学
物理疗法
外科
控制(管理)
经典力学
作者
Serge Pfeifer,Heike Vallery,Michael Hardegger,Robert Riener,Eric J. Perreault
标识
DOI:10.1109/tbme.2012.2207895
摘要
During natural locomotion, the stiffness of the human knee is modulated continuously and subconsciously according to the demands of activity and terrain. Given modern actuator technology, powered transfemoral prostheses could theoretically provide a similar degree of sophistication and function. However, experimentally quantifying knee stiffness modulation during natural gait is challenging. Alternatively, joint stiffness could be estimated in a less disruptive manner using electromyography (EMG) combined with kinetic and kinematic measurements to estimate muscle force, together with models that relate muscle force to stiffness. Here we present the first step in that process, where we develop such an approach and evaluate it in isometric conditions, where experimental measurements are more feasible. Our EMG-guided modeling approach allows us to consider conditions with antagonistic muscle activation, a phenomenon commonly observed in physiological gait. Our validation shows that model-based estimates of knee joint stiffness coincide well with experimental data obtained using conventional perturbation techniques. We conclude that knee stiffness can be accurately estimated in isometric conditions without applying perturbations, which presents an important step toward our ultimate goal of quantifying knee stiffness during gait.
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