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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
Conference NameIEEE International Conference on Real-time Computing and Robotics (RCAR)
Source Publication2017 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (RCAR)
Pages246-251
Conference Date2017-07-14
Conference PlaceOkinawa, JAPAN
Publication PlaceNEW YORK
PublisherIEEE
Contribution Rank5
Abstract

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.

Department光学影像学习与分析中心
Indexed ByISTP
ISBN978-1-5386-2035-9
Language英语
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30057
Collection光学影像学习与分析中心
Corresponding AuthorGeng, YJ (reprint author), Chinese Acad Sci, Shenzhen Inst Adv Technol, Key Lab Human Machine Intelligence Synergy Syst, Shenzhen 518055, Peoples R China.
Affiliation1.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
Recommended Citation
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.
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