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Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs | |
Ren, Shixin1,2![]() ![]() ![]() ![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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ISSN | 1534-4320 |
2020-08-01 | |
卷号 | 28期号:8页码:1846-1855 |
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). |
关键词 | Brain computer interface functional electrical stimulation (FES) virtual reality enhanced motor imagery rehabilitation training |
DOI | 10.1109/TNSRE.2020.3001990 |
关键词[WOS] | EEG CLASSIFICATION ; SPATIAL-PATTERNS ; VIRTUAL-REALITY ; SELECTION ; DISCRIMINATION ; EXECUTION ; MACHINE ; FILTERS |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | National Natural Science Foundation of China ; Beijing Natural Science Foundation |
WOS研究方向 | Engineering ; Rehabilitation |
WOS类目 | Engineering, Biomedical ; Rehabilitation |
WOS记录号 | WOS:000556773500017 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 多模态智能 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40349 |
专题 | 复杂系统认知与决策实验室_先进机器人 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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100490, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
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