标题:Interactive control and rehabilitation evaluation method of rehabilitation robot based on surface electromyography
作者:Li C.; Li Y.; Yan T.; Jiang C.
作者机构:[Li, C] School of Data Science and Computer, Shandong Women University, Jinan, Shandong 250300, China, School of Mechanical Engineering, Shandong Uni 更多
通讯作者:Jiang, C(jiangchunxiao7126@163.com)
通讯作者地址:[Jiang, C] Department of Clinical Laboratory, Jining No.1 People's Hospital, Affiliated Jining NO.1 People's Hospital of Jining Medical University, Ji 更多
来源:Acta Microscopica
出版年:2020
卷:29
期:2
页码:1109-1118
关键词:Acquisition of Signal; Rehabilitation Evaluation; Rehabilitation Robot; Surface Electromyogram Signal
摘要:In recent years, due to the increasing number of patients with limb movement disorder, the development of rehabilitation robots has become a research hot spot. One of the control systems combining biomechanics and rehabilitation robots has many advantages, so it is necessary to study the interactive control and rehabilitation evaluation methods of rehabilitation robots based on surface EMG signals. The purpose of this article is to solve how to combining with multichannel SEMG rehabilitation robots, in turn, improve the robot performance problems, through the study how to obtain the body in real time on the surface of the muscle, multichannel SEMG and extraction, the feature information of the joints, muscle activity, and by using high precision microscope to prove the validity of the information, so as to adjust rehabilitation robot according to get the correct information of medical gas supply pressure effect, and on the basis of this article established the degree of evaluation system for the patient rehabilitation make a scientific evaluation. The research results show that the use of multichannel SEMG rehabilitation robot adaptive control system can be completed independent efficient pressure on the multichannel SEMG acquisition and real-time display, signal analysis and signal, can be adjusted according to the collected signal independent pressure increases medical effect, adopt the rehabilitation robot of patients recovery rate increased by 15%. In addition, the proposed rehabilitation evaluation system can determine the score and evaluation model according to the level of patients' movement disorders, and can independently give the effect and status of patients' rehabilitation training. © 2020, Interamerican Society for Electron Microscopy (CIASEM). All rights reserved.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082016274&partnerID=40&md5=d0338b58915ab2f76b31f1ab0b9714dd
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