Sensory-Motor Systems Laboratory, ETH Zurich, Zurich, Switzerland.
IEEE Trans Biomed Eng. 2012 Sep;59(9):2604-12. doi: 10.1109/TBME.2012.2207895. Epub 2012 Jul 11.
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.
在自然运动中,人类膝关节的刚度会根据活动和地形的需求不断进行潜意识的调节。考虑到现代执行器技术,动力仿生膝关节假肢理论上可以提供类似的复杂程度和功能。然而,在实验中量化自然步态中的膝关节刚度调节具有挑战性。或者,可以使用肌电图 (EMG) 结合运动学和运动学测量来估计肌肉力量,同时使用将肌肉力量与刚度相关联的模型,以不那么具干扰性的方式来估计关节刚度。在这里,我们介绍了该过程的第一步,即开发这种方法并在等长条件下对其进行评估,因为在等长条件下进行实验测量更为可行。我们的 EMG 引导建模方法使我们能够考虑到存在拮抗肌激活的情况,这是生理步态中常见的现象。我们的验证表明,基于模型的膝关节刚度估计与使用传统扰动技术获得的实验数据非常吻合。我们得出结论,在不施加扰动的等长条件下可以准确估计膝关节刚度,这是朝着我们在步态中量化膝关节刚度的最终目标迈出的重要一步。