SSVEP-Based Brain-Computer Interface Controlled Functional Electrical Stimulation System for Upper Extremity Rehabilitation
文献类型：期刊论文
| 作者 | Zhao XG(赵新刚) ; Chu YQ(褚亚奇); Han JD(韩建达); Zhang ZQ(张志强)
|
| 刊名 | IEEE Transactions on Systems, Man, and Cybernetics: Systems
 |
| 出版日期 | 2016 |
| 卷号 | 46期号:7页码:947-956 |
| 关键词 | Brain–computer interfaces functional electrical stimulation human–robot interaction intelligent control rehabilitation robotics |
| ISSN号 | 1083-4427 |
| 产权排序 | 1 |
| 通讯作者 | 赵新刚 |
| 中文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Cybernetics |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | MOTOR IMAGERY EEG ; ROBOT ; BCI ; EXOSKELETON ; PATIENT ; STROKE ; ROBUST ; ARM |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000379757300008 |
| 源URL | [http://ir.sia.cn/handle/173321/18727]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。