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IEEE Trans Biomed Eng. 2007 Jun;54(6 Pt 2):1172-6.

Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs.

Author information

1
Department of Automation, Tsinghua University, Beijing 100084, China. linz102@mails.tsinghua.edu.cn

Abstract

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.

PMID:
17549911
DOI:
10.1109/TBME.2006.886577
[Indexed for MEDLINE]

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