中文版 | English
Title

Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study

Author
Publication Years
2022
DOI
Source Title
ISSN
1558-0210
VolumePPIssue:99Pages:1-1
Keywords
URL[Source Record]
SUSTech Authorship
First
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9975316
Citation statistics
Cited Times [WOS]:4
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/420623
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
First Author AffilicationDepartment of Electrical and Electronic Engineering
First Author's First AffilicationDepartment of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
Zengzhi Guo,Fei Chen. Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering,2022,PP(99):1-1.
APA
Zengzhi Guo,&Fei Chen.(2022).Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study.IEEE Transactions on Neural Systems and Rehabilitation Engineering,PP(99),1-1.
MLA
Zengzhi Guo,et al."Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study".IEEE Transactions on Neural Systems and Rehabilitation Engineering PP.99(2022):1-1.
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