Volitional EMG Control Enables Stair Climbing with a Robotic Powered Knee Prosthesis.

Suzi Creveling, Marissa Cowan, Liam M Sullivan, Lukas Gabert, Tommaso Lenzi
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Abstract

Existing controllers for robotic powered prostheses regulate the prosthesis speed, timing, and energy generation using predefined position or torque trajectories. This approach enables climbing stairs step-over-step. However, it does not provide amputees with direct volitional control of the robotic prosthesis, a functionality necessary to restore full mobility to the user. Here we show that proportional electromyographic (EMG) control of the prosthesis knee torque enables volitional control of a powered knee prosthesis during stair climbing. The proposed EMG controller continuously regulates knee torque based on activation of the residual hamstrings, measured using a single EMG electrode located within the socket. The EMG signal is mapped to a desired knee flexion/extension torque based on the prosthesis knee position, the residual limb position, and the interaction with the ground. As a result, the proposed EMG controller enabled an above-knee amputee to climb stairs at different speeds, while carrying additional loads, and even backwards. By enabling direct, volitional control of powered robotic knee prostheses, the proposed EMG controller has the potential to improve amputee mobility in the real world.

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利用机器人动力膝关节假体实现自愿肌电图控制爬楼梯
现有的机器人动力假肢控制器通过预定义的位置或扭矩轨迹来调节假肢的速度、时间和能量产生。这种方法可以实现逐级爬楼梯。然而,它并不能为截肢者提供对机器人假肢的直接意志控制,而这是恢复使用者完全活动能力所必需的功能。在这里,我们展示了对假肢膝关节扭矩的比例肌电图(EMG)控制,可在爬楼梯时实现对动力膝关节假肢的自主控制。所提出的肌电图控制器可根据残余腘绳肌的激活情况持续调节膝关节扭矩,而残余腘绳肌的激活情况是通过位于插座内的单个肌电图电极测量的。根据假肢膝盖位置、残余肢体位置以及与地面的相互作用,将 EMG 信号映射到所需的膝关节屈/伸扭矩。因此,所提出的肌电图控制器使膝上截肢者能够以不同的速度爬楼梯,同时还能承受额外的负荷,甚至是向后爬。通过实现对动力机器人膝关节假肢的直接、自愿控制,所提出的肌电图控制器有可能改善截肢者在现实世界中的活动能力。
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FBG-based Shape-Sensing to Enable Lateral Deflection Methods of Autonomous Needle Insertion. An Energetic Approach to Task-Invariant Ankle Exoskeleton Control. Controlling Powered Prosthesis Kinematics over Continuous Transitions Between Walk and Stair Ascent. Effects of Personalization on Gait-State Tracking Performance Using Extended Kalman Filters. Improving Amputee Endurance over Activities of Daily Living with a Robotic Knee-Ankle Prosthesis: A Case Study.
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