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SSVEP Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation
Chu YQ(褚亚奇); Zhao XG(赵新刚); Han JD(韩建达)
作者部门机器人学研究室
会议名称2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
会议日期December 5-10, 2014
会议地点Bali, Indonesia
会议录名称2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码2244-2249
收录类别EI ; CPCI(ISTP)
EI收录号20152100876906
WOS记录号WOS:000380399500374
产权排序1
ISBN号978-1-4799-7396-5
摘要

Brain-computer interface (BCI) is currently developed as an alternative technology with a potential to restore lost motor function in patients with neurological injuries. In this paper, we describe an integrated system of a non-invasive electroencephalogram (EEG)-based BCI with a non-invasive functional electrical stimulation (FES). This system enables the direct brain control of upper limbs to achieve motor rehabilitation. The EEG signals based on steady-state visual evoked potential (SSVEP) were used in the BCI. The classifier of linear discriminated analysis was applied to deal with the frequency domain characteristics and recognize intentions. The identified intentions were transformed into instructions to trigger FES which was controlled with iterative learning control method to stimulate the relevant muscles of upper limbs for motor recovery. Results show that the integration of BCI with an upper-extremity FES is feasible with an average accuracy of about 73.9% over five able-bodied subjects.

语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15414
专题机器人学研究室
通讯作者Zhao XG(赵新刚)
作者单位1.College of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
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Chu YQ,Zhao XG,Han JD. SSVEP Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation[C]. Piscataway, NJ, USA:IEEE,2014:2244-2249.
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