期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 54, 期 6, 页码 1172-1176出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2006.889197
关键词
brain computer interface; canonical correlation analysis; electroencephalogram; steady-state visual evoked potentials
Canonical correlation analysis (CCA) is applied to analyze the frequency components of steady-state visual evoked potentials (SSVEP) in electroencephalogram (EEG). The essence of this method is to extract a narrowband frequency component of SSVEP in EEG. A recognition approach is proposed based on the extracted frequency features for an SSVEP-based brain computer interface (BCI). Recognition Results of the approach were higher than those. using a widely used FFT (fast Fourier transform)-based spectrum estimation method.
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