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SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation
Zhao XG(赵新刚); Chu YQ(褚亚奇); Han JD(韩建达); Zhang ZQ(张志强)
Department机器人学研究室
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN2168-2216
2016
Volume46Issue:7Pages:947-956
Indexed BySCI ; EI
EI Accession number20162702561715
WOS IDWOS:000379757300008
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China under Grant 61273355, Grant 61273356, and Grant 61273155, and in part by the National High Technology Research and Development Program of China (863 Program) under Grant 2015AA042301.
KeywordBrain–computer Interfaces Functional Electrical Stimulation Human–robot Interaction Intelligent Control Rehabilitation Robotics
Abstract

Traditional rehabilitation techniques have limited effects on the recovery of patients with tetraplegia. A brain-computer interface (BCI) provides an interactive channel that does not depend on the normal output of peripheral nerves and muscles. In this paper, an integrated framework of a noninvasive electroencephalogram (EEG)-based BCI with a noninvasive functional electrical stimulation (FES) is established, which can potentially enable the upper limbs to achieve more effective motor rehabilitation. The EEG signals based on steady-state visual evoked potential are used in the BCI. Their frequency domain characteristics identified by the pattern recognition method are utilized to recognize intentions of five subjects with average accuracy of 73.9%. Furthermore the movement intentions are transformed into instructions to trigger FES, which is controlled with iterative learning control method, to stimulate the relevant muscles of upper limbs tracking desired velocity and position. It is a useful technology with potential to restore, reinforce or replace lost motor function of patients with neurological injuries. Experiments with five healthy subjects demonstrate the feasibility of BCI integrated with upper extremity FES toward improved function restoration for an individual with upper limb disabilities, especially for patients with tetraplegia.

Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectAutomation & Control Systems ; Computer Science, Cybernetics
WOS KeywordMotor Imagery Eeg ; Robot ; Bci ; Exoskeleton ; Patient ; Stroke ; Robust ; Arm
WOS Research AreaAutomation & Control Systems ; Computer Science
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/18727
Collection机器人学研究室
Corresponding AuthorZhao XG(赵新刚)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.College of Information Science and Engineering, Shenyang Ligong University, Shenyang, 110159, China
3.Sheng Jing Hospital, China Medical University, Shenyang, 110022, China
Recommended Citation
GB/T 7714
Zhao XG,Chu YQ,Han JD,et al. SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2016,46(7):947-956.
APA Zhao XG,Chu YQ,Han JD,&Zhang ZQ.(2016).SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation.IEEE Transactions on Systems, Man, and Cybernetics: Systems,46(7),947-956.
MLA Zhao XG,et al."SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation".IEEE Transactions on Systems, Man, and Cybernetics: Systems 46.7(2016):947-956.
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