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 | 光谱成像技术研究室 |
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 | 限制开放 | CC BY-NC-SA | 请求全文 |
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