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	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
	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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