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Biomechanics and energetics of walking in powered ankle exoskeletons using myoelectric control versus mechanically intrinsic control

机译:使用肌电控制与机械固有控制的动力踝关节外骨骼行走的生物力学和能量学

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摘要

BackgroundControllers for assistive robotic devices can be divided into two main categories: controllers using neural signals and controllers using mechanically intrinsic signals. Both approaches are prevalent in research devices, but a direct comparison between the two could provide insight into their relative advantages and disadvantages. We studied subjects walking with robotic ankle exoskeletons using two different control modes: dynamic gain proportional myoelectric control based on soleus muscle activity (neural signal), and timing-based mechanically intrinsic control based on gait events (mechanically intrinsic signal). We hypothesized that subjects would have different measures of metabolic work rate between the two controllers as we predicted subjects would use each controller in a unique manner due to one being dependent on muscle recruitment and the other not.
机译:背景技术用于辅助机器人设备的控制器可以分为两大类:使用神经信号的控制器和使用机械固有信号的控制器。两种方法在研究设备中都很普遍,但是直接比较这两种方法可以深入了解它们的相对优缺点。我们研究了使用两种不同的控制模式与机器人脚踝外骨骼一起行走的对象:基于比目鱼肌活动(神经信号)的动态增益比例肌电控制,以及基于步态事件(机械固有信号)的基于定时的机械固有控制。我们假设受试者会在两个控制器之间进行不同的代谢工作率测量,因为我们预测受试者会以一种独特的方式使用每个控制器,因为一个受试者依赖于肌肉的募集而另一个则不依赖于肌肉。

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