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Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs

文献类型：期刊论文

作者Ren, Shixin2,3; Wang, Weiqun2; Hou, Zeng-Guang1,2,4; Liang, Xu2,3; Wang, Jiaxing2,3; Shi, Weiguo2,3
刊名IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
出版日期2020-08-01
卷号28期号:8页码:1846-1855
关键词Brain computer interface functional electrical stimulation (FES) virtual reality enhanced motor imagery rehabilitation training
ISSN号1534-4320
DOI10.1109/TNSRE.2020.3001990
通讯作者Wang, Weiqun(weiqun.wang@ia.ac.cn)
英文摘要Motor imagery based brain-computer interface (MI-BCI) has been studied for improvement of patients' motor function in neurorehabilitation and motor assistance. However, the difficulties in performing imagery tasks limit its application. To overcome the limitation, an enhanced MI-BCI based on functional electrical stimulation (FES) and virtual reality (VR) is proposed in this study. On one hand, the FES is used to stimulate the subjects' lower limbs before their imagination to make them experience the muscles' contraction and improve their attention on the lower limbs, by which it is supposed that the subjects' motor imagery (MI) abilities can be enhanced. On the other hand, a ball-kicking movement scenario from the first-person perspective is designed to provide visual guidance for performing MI tasks. The combination of FES and VR can be used to reduce the difficulties in performing MI tasks and improve classification accuracy. Finally, the comparison experiments were conducted on twelve healthy subjects to validate the performance of the enhanced MI-BCI. The results show that the classification performance can be improved significantly by using the proposed MI-BCI in terms of the classification accuracy (ACC), the area under the curve (AUC) and the F1 score (paired t-test, p <0.05).
WOS关键词EEG CLASSIFICATION ; SPATIAL-PATTERNS ; VIRTUAL-REALITY ; SELECTION ; DISCRIMINATION ; EXECUTION ; MACHINE ; FILTERS
资助项目National Natural Science Foundation of China[91648208] ; National Natural Science Foundation of China[91848110] ; National Natural Science Foundation of China[61720106012] ; Beijing Natural Science Foundation[3171001] ; Beijing Natural Science Foundation[4202074]
WOS研究方向Engineering ; Rehabilitation
语种英语
WOS记录号WOS:000556773500017
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/40348]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者Wang, Weiqun
作者单位1.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100490, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Ren, Shixin,Wang, Weiqun,Hou, Zeng-Guang,et al. Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2020,28(8):1846-1855.
APA Ren, Shixin,Wang, Weiqun,Hou, Zeng-Guang,Liang, Xu,Wang, Jiaxing,&Shi, Weiguo.(2020).Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,28(8),1846-1855.
MLA Ren, Shixin,et al."Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 28.8(2020):1846-1855.

入库方式： OAI收割

来源：自动化研究所

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