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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)
Department机器人学研究室
Conference Name2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
Conference DateDecember 5-10, 2014
Conference PlaceBali, Indonesia
Source Publication2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2014
Pages2244-2249
Indexed ByEI ; CPCI(ISTP)
EI Accession number20152100876906
WOS IDWOS:000380399500374
Contribution Rank1
ISBN978-1-4799-7396-5
Abstract

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.

Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15414
Collection机器人学研究室
Corresponding AuthorZhao XG(赵新刚)
Affiliation1.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
Recommended Citation
GB/T 7714
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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