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A method to simulate motor control strategies to recover from perturbations: Application to a stumble recovery during gait

机译:一种模拟运动控制策略以从干扰中恢复的方法:应用于步态中的跌倒恢复

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Perturbations during human gait such as a trip or a slip can result in a fall, especially among frail populations such as the elderly. In order to recover from a trip or a stumble during gait, humans perform different types of recovery strategies. It is very useful to uncover the mechanisms of the recovery to improve training methods for populations at risk of falling. Moreover, human recovery strategies could be applied to implement controllers for bipedal robot walker, as an application of biomimetic design. A biomechanical model of the response to a trip during gait might uncover the control mechanisms underlying the different recovery strategies and the adaptation of the responses found during the execution of successive perturbation trials. This paper introduces a model of stumble in the multibody system framework. This model is used to assess different feedforward strategies to recover from a trip. First of all, normal gait patterns for the musculoskeletal system model are obtained by solving an optimal control problem. Secondly, the reference gait is perturbed by the application of forces on the swinging foot in different ways: as an instantaneous inelastic collision of the foot with an obstacle, as an impulsive horizontal force or using a force curve measured experimentally during gait perturbation experiments. The influence of the type of perturbation, the timing of the collision with respect to the gait cycle, as well as of the coefficient of restitution was investigated previously. Finally, in order to test the effects of different muscle excitation levels on the initial phases of the recovery response, several muscle excitations were added to selected muscles of the legs, thus providing a simulation of the recovery reactions. These results pave the way for future analysis and modeling of the control mechanisms of gait.
机译:人的步态波动,例如旅行或滑倒,可能会导致跌倒,尤其是在年老体弱的人群中。为了从步态或绊倒中恢复过来,人类执行不同类型的恢复策略。揭示恢复机制以改善有跌倒风险的人群的训练方法非常有用。此外,作为仿生设计的应用,人类恢复策略可以应用于实现双足机器人助步器的控制器。步态中对绊倒的反应的生物力学模型可能揭示了不同恢复策略所依据的控制机制,以及在进行连续扰动试验过程中发现的反应的适应性。本文介绍了多体系统框架中的绊倒模型。该模型用于评估从行程中恢复的不同前馈策略。首先,通过解决最优控制问题来获得肌肉骨骼系统模型的正常步态模式。其次,参考步态会受到以不同方式施加在摆脚上的力的干扰:作为脚与障碍物的瞬时非弹性碰撞,作为冲动的水平力,或使用在步态微扰实验中通过实验测得的力曲线。先前已经研究了摄动类型,碰撞时间与步态周期的关系以及恢复系数的影响。最后,为了测试不同的肌肉刺激水平对恢复反应初始阶段的影响,将几种肌肉刺激添加到腿部选定的肌肉中,从而提供了恢复反应的模拟。这些结果为步态控制机制的未来分析和建模铺平了道路。

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