Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis

标题
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis
作者
关键词
Steady-state visual evoked potential (SSVEP), Multivariate variational mode decomposition (MVMD), Sparrow search algorithm (SSA), Canonical correlation analysis (CCA), Inherent mode functions (IMFs)
出版物
Biomedical Signal Processing and Control
Volume 71, Issue -, Pages 103209
出版商
Elsevier BV
发表日期
2021-10-12
DOI
10.1016/j.bspc.2021.103209

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