Title | Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study |
Author | |
Publication Years | 2022
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DOI | |
Source Title | |
ISSN | 1558-0210
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Volume | PPIssue:99Pages:1-1 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | First
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9975316 |
Citation statistics |
Cited Times [WOS]:4
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/420623 |
Department | Department of Electrical and Electronic Engineering |
Affiliation | Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China |
First Author Affilication | Department of Electrical and Electronic Engineering |
First Author's First Affilication | Department 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.
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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.
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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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