OPT OpenIR  > 光学影像学习与分析中心
Real-time Classification of Forearm Movements Based on High Density Surface Electromyography
Wei, Yue1,4; Geng, Yanjuan1; Yu, Wenlong1; Samuel, Oluwarotimi Williams1,2; Jiang, Naifu3; Zhou, Hui1; Guo, Xin4; Lu, Xiaoqiang5; Li, Guanglin1,2; Geng, YJ (reprint author), Chinese Acad Sci, Shenzhen Inst Adv Technol, Key Lab Human Machine Intelligence Synergy Syst, Shenzhen 518055, Peoples R China.
2017
会议名称IEEE International Conference on Real-time Computing and Robotics (RCAR)
会议录名称2017 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (RCAR)
页码246-251
会议日期2017-07-14
会议地点Okinawa, JAPAN
出版地NEW YORK
出版者IEEE
产权排序5
摘要

Partial or complete loss of the upper limb motor function has great impact on the activities of daily life (ADL) of post-stroke survivors. To improve the rehabilitation effect of fine motor function of forearms, a couple of recent studies focused on methods that try to decode the limb motion intent of patients through physical exercises. However, there exist a few studies on real-time active rehabilitation method for the classification of multiple hand movements. In the current investigate, a pattern-recognition based rehabilitation environment was set up using high-density surface electromyogram (HD-sEMG) and the real-time classification performance of 21 forearm motions was investigated with eight healthy subjects. The results showed that the average motion completion rate across all subjects was 91.17%+/- 2.86%, which suggests the potential of intention-initiated approach in assistive rehabilitation technique.

作者部门光学影像学习与分析中心
收录类别ISTP
ISBN号978-1-5386-2035-9
语种英语
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30057
专题光学影像学习与分析中心
通讯作者Geng, YJ (reprint author), Chinese Acad Sci, Shenzhen Inst Adv Technol, Key Lab Human Machine Intelligence Synergy Syst, Shenzhen 518055, Peoples R China.
作者单位1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Key Lab Human Machine Intelligence Synergy Syst, Shenzhen 518055, Peoples R China
2.Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen 518055, Peoples R China
3.Univ Hong Kong, Li Ka Shing Fac Med, Dept Orthopaed & Traumatol, Pokfulam, Hong Kong, Peoples R China
4.Hebei Univ Technol, Tianjin 300130, Peoples R China
5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Wei, Yue,Geng, Yanjuan,Yu, Wenlong,et al. Real-time Classification of Forearm Movements Based on High Density Surface Electromyography[C]. NEW YORK:IEEE,2017:246-251.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Real-time Classifica(600KB)会议论文 开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wei, Yue]的文章
[Geng, Yanjuan]的文章
[Yu, Wenlong]的文章
百度学术
百度学术中相似的文章
[Wei, Yue]的文章
[Geng, Yanjuan]的文章
[Yu, Wenlong]的文章
必应学术
必应学术中相似的文章
[Wei, Yue]的文章
[Geng, Yanjuan]的文章
[Yu, Wenlong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。