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Electromyography-based control of active above-knee prostheses

机译:基于肌电图的活动式膝上假体控制

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摘要

This paper presents a new electromyography (EMG)-based control approach for above-knee (AK) prostheses, which enables the user to control the prosthesis motion directly with his or her muscle activating neural signals. Furthermore, the unique 'active-reactive' control structure mimics the actuation mechanism of a human biological joint, and thus provides the user an experience similar to that of a biological lower limb in the control process. In the proposed control approach, surface EMG is utilized to provide a non-intrusive interface to the user's central nervous system, through which the muscle-activating signals can be obtained. With the EMG signals as inputs, an 'active-reactive' control algorithm is developed based on the analysis on a simplified musculoskeletal structure of human biological joint. This control algorithm incorporates an 'active' component, which reflects the user's active effort to actuate the joint, and a 'reactive' component, which models the reaction of the joint to the motion as a result of the controllable impedance displayed on the joint. With this unique structure, the controller enables the active control of the joint motion, while at the same time achieves a natural interaction with the environment through the modulation of the joint impedance. The effectiveness of the proposed control approach was demonstrated through a set of free swing experiments, in which the user was able to control the prosthesis to follow arbitrary motion commands, and a set of level walking experiments, in which the user achieved natural walking gait similar to the typical walking gait of healthy subjects.
机译:本文提出了一种新的基于肌电图(EMG)的膝上(AK)假体控制方法,该方法使用户可以通过其肌肉激活神经信号直接控制假体运动。此外,独特的“主动-主动”控制结构模仿了人类生物关节的致动机制,因此在控制过程中为用户提供了类似于生物下肢的体验。在提出的控制方法中,表面肌电图用于为用户的中枢神经系统提供非侵入性界面,通过该界面可以获取肌肉激活信号。以肌电信号为输入,基于对人体生物关节的简化骨骼肌肉结构的分析,开发了一种“主动-被动”控制算法。该控制算法结合了“活动”组件和“反应”组件,“活动”组件反映了用户致动关节的积极努力,而“反应”组件对关节对运动的反应进行了建模,这是关节上显示的可控阻抗的结果。通过这种独特的结构,控制器可以主动控制关节运动,同时通过调节关节阻抗实现与环境的自然互动。通过一组自由挥杆实验(其中用户能够控制假体遵循任意运动命令)和一组水平步行实验(一组用户实现了相似的自然步态)证明了所提出的控制方法的有效性。适应健康受试者的典型步态。

著录项

  • 来源
    《Control Engineering Practice》 |2011年第8期|p.875-882|共8页
  • 作者单位

    The Department of Mechanical Engineering, The University of Alabama, 290 Hardaway Hall, Box 870276, Tuscaloosa, AL 35487-0276, USA;

    The Department of Mechanical Engineering, The University of Alabama, 290 Hardaway Hall, Box 870276, Tuscaloosa, AL 35487-0276, USA;

    The Department of Mechanical Engineering, The University of Alabama, 290 Hardaway Hall, Box 870276, Tuscaloosa, AL 35487-0276, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biomedical system; impedance control; medical applications; neural control;

    机译:生物医学系统;阻抗控制;医学应用;神经控制;
  • 入库时间 2022-08-18 02:04:37

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