SCHOLARLY PUBLICATION

Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao

📖 IEEE Transactions on Biomedical Engineering → 📅 2006-12-01 🔗 DOI: 10.1109/tbme.2006.886577

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📄 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 fast Fourier transform (FFT)-based spectrum estimation method.

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