Robot-Assisted Rehabilitation System Based on SSVEP Brain-Computer Interface for Upper Extremity

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	Robot-Assisted Rehabilitation System Based on SSVEP Brain-Computer Interface for Upper Extremity
	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
	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
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
内容类型	会议论文
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.