Robot-Assisted Rehabilitation System Based on SSVEP Brain-Computer Interface for Upper Extremity
文献类型：会议论文
| 作者 | Chu YQ(褚亚奇)2,3,4 ; Zou YJ(邹宜君)2,3,4; Xu WL(徐卫良)1,4; Zhao YW(赵忆文)3,4; Zhao XG(赵新刚)3,4
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| 出版日期 | 2018 |
| 会议日期 | December 12-15, 2018 |
| 会议地点 | Kuala Lumpur, Malaysia |
| 页码 | 1058-1063 |
| 英文摘要 | Traditional rehabilitation therapies have limited effect on the motor recovery for a tetraplegia patient. Brain-computer interface (BCI) systems allow patients to send commands or intents to control external devices without depending on the normal way of peripheral nerves and muscles. And hence it can provide an alternative control and communication method with a potential to replace, restore, even reinforce lost movement ability for individuals with neurological damages. In the study, we proposed a robot-assisted rehabilitation system for upper extremity based on non-invasive electroencephalogram (EEG) BCI, which enables the injured upper extremity to achieve motor function. Six participants conducted three speed modes of movement with a BCI-controlled robot. The steady-state visual evoked potentials (SSVEPs) was adopted to establish the BCI system. Experimental results of the healthy participants were analyzed to indicate the feasibility of a BCI-driven robot-assisted rehabilitation system, with an average accuracy of about 80 %. This study gives a preliminary evidence that the integrated robot-assisted rehabilitation system combined with SSVEP-based BCI will make future rehabilitation therapy more effective. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 2018 IEEE International Conference on Robotics and Biomimetics
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0376-1 |
| WOS记录号 | WOS:000468772200169 |
| 源URL | [http://ir.sia.cn/handle/173321/24659]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Zhao XG(赵新刚) |
| 作者单位 | 1.Department of Mechanical Engineering, University of Auckland, Auckland 1142, New Zealand 2.University of Chinese Academy of Sciences (UCAS), Beijing, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences (CAS), Shenyang, Liaoning 110016, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), China |
| 推荐引用方式 GB/T 7714 | Chu YQ,Zou YJ,Xu WL,et al. Robot-Assisted Rehabilitation System Based on SSVEP Brain-Computer Interface for Upper Extremity[C]. 见:. Kuala Lumpur, Malaysia. December 12-15, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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