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A Novel Combination of Time Phase and EEG Frequency Components for SSVEP-Based BCI

  • Jing Jin
  • Yu Zhang
  • Xingyu Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7062)

Abstract

The steady-state visual evoked potential (SSVEP) has been widely applied in brain-computer interfaces (BCIs), such as letter or icon selection and device control. Most of these BCIs used different flickering frequencies to evoke SSVEP with different frequency components that were used as control commands. In this paper, a novel method combining the time phase and EEG frequency components is presented and validated with nine healthy subjects. In this method, four different frequency components of EEG were classified out from four time phases. When the SSVEP is evoked and what is the frequency of the SSVEP is determined by the linear discriminant analysis (LDA) classifier in the same time to locate the target image. The results from offline analysis show that this method yields good performance both in classification accuracy and information transfer rate (ITR).

Keywords

Brain-computer interfaces (BCIs) Electroencephalogram (EEG) Steady-state visual evoked potential (SSVEP) Time phase 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jing Jin
    • 1
  • Yu Zhang
    • 1
    • 2
  • Xingyu Wang
    • 1
  1. 1.School of Information Science and EngineeringEast China University of Science and TechnologyShanghaiChina
  2. 2.Laboratory for Advanced Brain Signal ProcessingRIKEN, Brain Science InstituteSaitamaJapan

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