• DocumentCode
    662877
  • Title

    Comparison of plain and checkerboard stimuli for brain computer interfaces based on steady state visual evoked potentials

  • Author

    Zerafa, Rosanne ; Camilleri, Tracey ; Falzon, Owen ; Camilleri, K.P.

  • Author_Institution
    Dept. of Syst. & Control Eng., Univ. of Malta, Msida, Malta
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    A steady-state visual evoked potential (SSVEP) is a neural response observed in the visual cortex evoked by repetitive visual stimulation. In an SSVEP-based brain-computer interface (BCI) application various visual stimuli that induce SSVEPs at different frequencies are associated with distinct commands; a user activates a particular command by focusing on the targeted stimulus. The pattern of these visual stimuli is one of the properties that affects the accuracy of SSVEP detection. This work thus compares the two most common types of stimuli, which are the plain and checkerboard stimuli, for BCI systems. Results showed a statistically significant 9.26% average increase in SSVEP classification when using a plain stimulus over a checkerboard stimulus.
  • Keywords
    brain-computer interfaces; electroencephalography; medical signal detection; medical signal processing; neurophysiology; signal classification; statistical analysis; visual evoked potentials; SSVEP classification; SSVEP detection; SSVEP-based brain-computer interface application; checkerboard stimuli; neural response; plain stimuli; steady-state visual evoked potential; visual cortex; visual stimuli pattern; Accuracy; Electroencephalography; Harmonic analysis; Monitoring; Signal to noise ratio; Steady-state; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6695864
  • Filename
    6695864