Meng Lin, Porr Bernd, Macleod Catherine A, Gollee Henrik
1 Division of Biomedical Engineering, University of Glasgow, Glasgow, UK.
2 Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
Proc Inst Mech Eng H. 2017 Apr;231(4):315-325. doi: 10.1177/0954411917693879. Epub 2017 Mar 6.
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.
本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,该系统采用了一种成熟的纯反射控制算法,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,地面接触信息被用于激活腿部的电机,产生与人类相似的步态周期。我们没有为步行开发复杂的闭环功能性电刺激控制策略,而是利用了我们简单的反射模型,其中肌肉激活是通过传递函数诱导的,这些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无辅助行走期间的步态功能,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肌肉激活,并能够促进髋部和脚踝的功能性运动。总体而言,该研究证明了受人类启发的机器人系统在双足步行辅助设备设计中的潜力。