• DocumentCode
    1299865
  • Title

    Frequency and Phase Mixed Coding in SSVEP-Based Brain--Computer Interface

  • Author

    Jia, Chuan ; Gao, Xiaorong ; Hong, Bo ; Shangkai Gao

  • Author_Institution
    Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
  • Volume
    58
  • Issue
    1
  • fYear
    2011
  • Firstpage
    200
  • Lastpage
    206
  • Abstract
    Frequency coding has been the traditional method implemented in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI). However, it is limited in terms of possible target numbers and, consequently, inappropriate for certain applications involving liquid crystal display (LCD) with multiple stimuli. This paper proposes an innovative coding method for SSVEP that, through a combination of frequency and phase, increases the number of targets, thus it improves the information transfer rate (ITR). With this method, a BCI system with 15 targets was developed using three stimulus frequencies, which is five times as many targets as the traditional method. Additionally, this paper defines the concept of reference phase, and decodes the EEG by means of Fourier coefficient projections onto the reference phase directions. Through the optimization of lead position, reference phase, data segment length, and harmonic components, the average ITR exceeded 60 bits/min in a simulated online test with ten subjects.
  • Keywords
    brain-computer interfaces; electroencephalography; encoding; medical signal processing; visual evoked potentials; EEG; Fourier coefficient projections; LCD; SSVEP based BCI; SSVEP based brain-computer interface; SSVEP coding method; data segment length optimization; frequency-phase mixed coding; harmonic component optimization; information transfer rate; lead position optimization; liquid crystal display; multiple stimuli; reference phase directions; reference phase optimization; steady state visual evoked potential; Accuracy; Electroencephalography; Frequency measurement; Harmonic analysis; Lead; Materials; Phase measurement; Brain--computer interfaces (BCI); frequency coding; phase coding; steady-state visual evoked potential (SSVEP); Adult; Algorithms; Electroencephalography; Evoked Potentials, Visual; Fourier Analysis; Humans; Man-Machine Systems; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2010.2068571
  • Filename
    5551180