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A functional electrical stimulation system for human walking inspired by reflexive control principles

机译:自反控制原理的启发一种用于人体行走的功能性电刺激系统

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摘要

This study presents an innovative multichannel functional electrical stimulation gait-assist system which employs a well-established purely reflexive control algorithm, previously tested in a series of bipedal walking robots. In these robots, ground contact information was used to activate motors in the legs, generating a gait cycle similar to that of humans. Rather than developing a sophisticated closed-loop functional electrical stimulation control strategy for stepping, we have instead utilised our simple reflexive model where muscle activation is induced through transfer functions which translate sensory signals, predominantly ground contact information, into motor actions. The functionality of the functional electrical stimulation system was tested by analysis of the gait function of seven healthy volunteers during functional electrical stimulation–assisted treadmill walking compared to unassisted walking. The results demonstrated that the system was successful in synchronising muscle activation throughout the gait cycle and was able to promote functional hip and ankle movements. Overall, the study demonstrates the potential of human-inspired robotic systems in the design of assistive devices for bipedal walking.
机译:这项研究提出了一种创新的多通道功能性电刺激步态辅助系统,该系统采用了一种完善的纯自反控制算法,该算法先前已在一系列双足步行机器人中进行过测试。在这些机器人中,地面接触信息用于激活腿部的电机,从而产生类似于人类的步态周期。我们没有开发用于步进的复杂闭环功能电刺激控制策略,而是使用了简单的反射模型,在该模型中,肌肉的传递是通过传递函数来感应的,传递函数将感觉信号(主要是地面接触信息)转化为运动动作。通过分析七名健康志愿者在功能性电刺激-辅助跑步机行走与非辅助性行走之间的步态功能,测试了功能性电刺激系统的功能。结果表明,该系统成功地在整个步态周期中同步了肌肉的激活,并能够促进髋部和踝部的功能性运动。总体而言,该研究表明,在设计用于双足步行的辅助设备时,受人类启发的机器人系统具有巨大的潜力。

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