Real-time, simultaneous myoelectric control using visual target-based training paradigm
Real-time, simultaneous myoelectric control using visual target-based training paradigm
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DOI：
10.1016/j.bspc.2014.03.006
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发表时间：
2014-09-01
影响因子：
5.1
通讯作者：
Parker, Philip A.
中科院分区：
文献类型：
--
作者：
Ameri, Ali;Kamavuako, Ernest N.;Parker, Philip A.
提出了一种多自由度（DOF）同时比例肌电控制的训练策略。十名受试者参与了这项研究，对腕部屈曲-伸展、外展-内收和旋前-旋后进行了研究。受试者被提示引发与计算机屏幕上移动光标的偏移相对应且成比例的收缩。人工神经网络 (ANN) 用于将从前臂肌肉获得的肌电图 (EMG) 信号映射到目标光标位移。随后，进行了实时目标捕获测试，在此过程中，用户利用肌肉收缩控制光标来到达目标。结果表明，根据完成率、完成时间、目标超调和路径效率来衡量，所提出的方法提供的可控性与之前报道的镜像双边训练方法相当（p > 0.1）。然而，与之前的方法不同的是，所提出的策略不需要力或位置传感设备，并且很容易适用于单侧和双侧截肢者。 (C) 2014 Elsevier Ltd. 保留所有权利。
A training strategy for simultaneous and proportional myoelectric control of multiple degrees of freedom (DOFs) is proposed. Ten subjects participated in this work in which wrist flexion-extension, abduction-adduction, and pronation-supination were investigated. Subjects were prompted to elicit contractions corresponding and proportional to the excursion of a moving cursor on a computer screen. Artificial neural networks (ANNs) were used to map the electromyogram (EMG) signals obtained from forearm muscles, to the target cursor displacement. Subsequently, a real-time target acquisition test was conducted during which the users controlled a cursor using muscular contractions to reach targets. The results show that the proposed method provided controllability comparable (p > 0.1) with the previously reported mirrored bilateral training approach, as measured by completion rate, completion time, target overshoot and path efficiency. Unlike the previous approach, however, the proposed strategy requires no force or position sensing equipment and is readily applicable to both unilateral and bilateral amputees. (C) 2014 Elsevier Ltd. All rights reserved.