A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface | |
Chen, Yi-Feng; Atal, Kiran; Xie, Shengquan; Liu, Quan* | |
刊名 | Journal of Neural Engineering
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2017 | |
卷号 | 14期号:4页码:046028 |
关键词 | brain-computer interface canonical correlation analysis electroencephalogram multivariate empirical mode decomposition steady-state visual evoked potentials |
ISSN号 | 1741-2552 |
DOI | 10.1088/1741-2552/aa6a23 |
URL标识 | 查看原文 |
WOS记录号 | WOS:000404265900004;EI:20174304287699;PMID:28357991 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3379770 |
专题 | 武汉理工大学 |
作者单位 | 1.[Chen, Yi-Feng 2.Liu, Quan] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China. |
推荐引用方式 GB/T 7714 | Chen, Yi-Feng,Atal, Kiran,Xie, Shengquan,et al. A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface[J]. Journal of Neural Engineering,2017,14(4):046028. |
APA | Chen, Yi-Feng,Atal, Kiran,Xie, Shengquan,&Liu, Quan*.(2017).A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.Journal of Neural Engineering,14(4),046028. |
MLA | Chen, Yi-Feng,et al."A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface".Journal of Neural Engineering 14.4(2017):046028. |
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