Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms

Q4 Agricultural and Biological Sciences International Journal Bioautomation Pub Date : 2019-09-01 DOI:10.7546/IJBA.2019.23.3.000673
R. Raikova, S. Angelova, I. Veneva, I. Christov
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引用次数: 1

Abstract

The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.
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无和有四自由度被动外骨骼的上肢肌肉肌电图活动的实验研究
选择合适的人体表面肌肉及其肌电图(EMG)信号处理一直是一个挑战,尤其是当技术设备要由这些信号控制时。使用NORAXON测量和处理系统对六名健康志愿者进行实验。记录并处理来自在肩关节和肘关节中进行主要运动的右上臂8块肌肉的EMG信号。还记录了关节中的四个角度。在没有和有四个自由度的外骨骼的情况下,进行了六项运动任务。由于胸大肌的EMG信号受到来自心脏电活动的噪声的污染,首先使用最近开发的动态滤波器对该信号进行滤波。过滤后根据最大等距任务进行归一化。校正和平滑确保了用于外骨骼的比例控制的合适信号。通过为最大EMG振幅水平设置不同的常数来模拟开/关控制。
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来源期刊
International Journal Bioautomation
International Journal Bioautomation Agricultural and Biological Sciences-Food Science
CiteScore
1.10
自引率
0.00%
发文量
22
审稿时长
12 weeks
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