中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 期刊论文
题名: SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation
作者: Zhao XG(赵新刚); Chu YQ(褚亚奇); Han JD(韩建达); Zhang ZQ(张志强)
作者部门: 机器人学研究室
关键词: Brain–computer interfaces ; functional electrical stimulation ; human–robot interaction ; intelligent control ; rehabilitation robotics
刊名: IEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN号: 1083-4427
出版日期: 2016
卷号: 46, 期号:7, 页码:947-956
收录类别: SCI ; EI
产权排序: 1
项目资助者: National 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.
摘要: 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.
语种: 英语
WOS记录号: WOS:000379757300008
WOS标题词: Science & Technology ; Technology
类目[WOS]: Automation & Control Systems ; Computer Science, Cybernetics
关键词[WOS]: MOTOR IMAGERY EEG ; ROBOT ; BCI ; EXOSKELETON ; PATIENT ; STROKE ; ROBUST ; ARM
研究领域[WOS]: Automation & Control Systems ; Computer Science
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/18727
Appears in Collections:机器人学研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation.pdf(1189KB)期刊论文作者接受稿开放获取View Download

Recommended Citation:
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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhao XG(赵新刚)]'s Articles
[Chu YQ(褚亚奇)]'s Articles
[Han JD(韩建达)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhao XG(赵新刚)]‘s Articles
[Chu YQ(褚亚奇)]‘s Articles
[Han JD(韩建达)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace