标题:A sEMG-Controlled Robotic Hand Exoskeleton for Rehabilitation in Post-Stroke Individuals
作者:Zeng, Haibin ;Li, Ke ;Wei, Na ;Song, Rui ;Tian, Xincheng
通讯作者:Wei, Na
作者机构:[Zeng, H] Laboratory of Motor Control and Rehabilitation, School of Control Science and Engineering, Shandong University, Jinan, China;[ Li, K] Labora 更多
会议名称:2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
会议日期:25 October 2018 through 27 October 2018
来源:2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
出版年:2019
页码:652-655
DOI:10.1109/CBS.2018.8612211
摘要:This study proposed to design a robotic hand exoskeleton for rehabilitation in post-stroke individuals controlled by surface electromyographic (sEMG) signals. A control system consisting of threshold detection, classification module and actuator control was designed. Six representative functional hand gestures was recognized using support vector machine (SVM) based on the sEMG signals captured from eight forearm and hand muscles. Kinematic simulation was performed, by which the maximum joint angles for extension was measured. Results showed that the angle changes in metacarpophalangeal (MCP) joints of index, middle, ring and pinky were more than 7°. The angle changes of proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints of the four fingers exceeded 77° and 43°, respectively. The accuracy of gesture classification was higher than 95.5%, which was superior to the results of previous studies. This device provided an innovative prototype and would play a role in hand rehabilitation in post-stroke individuals. © 2018 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062067129&doi=10.1109%2fCBS.2018.8612211&partnerID=40&md5=afdd63c47755330a9924987f79cffc47
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