• DocumentCode
    1837259
  • Title

    Stimulation frequency extraction in SSVEP-based brain-computer interface

  • Author

    Ming, Cheng ; Xiaorong, Gao ; Shangkai, Gao ; Boliang, Wang

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., China
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    64
  • Lastpage
    67
  • Abstract
    A periodogram-based method is used to extract the stimulation frequency in a brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). In the system, tens of buttons illuminated at different frequencies are used to generate deterministic sinusoidal responses or SSVEP at the visual cortex, which are derived from the electroencephalogram (EEG) by a suitable electrode array. Based on the periodogram of a time-series, we test the EEG data for the presence of hidden periodic components, which correspond to SSVEP, and extract the stimulation frequencies. The method performs well in simulation, and is applied successfully to real data.
  • Keywords
    biomedical electrodes; electroencephalography; neurophysiology; spectral analysis; time series; user interfaces; visual evoked potentials; brain-computer interface; electrode array; electroencephalogram; periodogram; steady-state visual evoked potential; stimulation frequency extraction; time series; visual cortex; Biomedical engineering; Bismuth; Brain computer interfaces; Computer science; Data mining; Electroencephalography; Frequency; Random variables; Steady-state; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499843
  • Filename
    1499843