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Using Canonical Correlation Method to Extract SSVEP at One Channel

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

Many methods have been proposed aiming at improving the transfer rate of Steady-State Visually Evoked Potential (SSVEP) based Brain–Computer Interface (BCI). In this work, we propose a method in which a filter technique is combined with the canonical correlation method, and this method called as filter and canonical correlation (FACC) is insensitive to the initial phase of SSVEP and the background noise, and only one signal channel is needed. The FACC method and the Power Spectrum (PS) method are used to extract the SSVEP within 1s length EEG segments, and the results are compared to each other. The comparison shows that FACC method is more valid than PS method when extracting SSVEP within a short span.

Keywords

Steady-state visually evoked potential (SSVEP) Brain–computer interface (BCI) Power spectrum (PS) method Filter and canonical correlation (FACC) method 

Notes

Acknowledgements

The work was supported by Science and Technology Bureau of Sichuan Province (#2013GZ0017).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengDuChina
  2. 2.Key Laboratory for NeuroInformation of Ministry of EducationSchool of Life Science and Technology, University of Electronic Science and Technology of ChinaChengDuChina
  3. 3.Department of Biomedical EngineeringUniversity of FloridaGainesvilleUSA

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