• DocumentCode
    663136
  • Title

    Integrating interference frequency components elicited by monitor refresh rate to enhance frequency detection of SSVEPs

  • Author

    Nakanishi, Masaki ; Yijun Wang ; Yu-Te Wang ; Mitsukura, Yasue ; Tzyy-Ping Jung

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    1092
  • Lastpage
    1095
  • Abstract
    Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to realize a direct communication between the human brain and the outside environment in real-life situations. Recently, we proposed a stimulation approximation approach to increase the number of visual stimuli that can be realized on a computer monitor. In addition to the fundamental and harmonic frequencies, the refresh rate-based stimulation approach also elicits SSVEPs at other frequencies that are termed interference frequencies, which are derived from the interaction between the stimulation frequency and the refresh rate. This study aims to investigate properties of the interference frequency components, and propose to integrate the interference frequency components to enhance frequency detection of SSVEPs. The results suggest that the proposed approach could substantially improve the frequency detection accuracy of SSVEPs.
  • Keywords
    approximation theory; brain-computer interfaces; computer displays; electroencephalography; interference suppression; signal detection; visual evoked potentials; SSVEP; brain-computer interface; computer monitor; enhance frequency detection accuracy; fundamental frequency; harmonic frequency; human brain; interference frequency component integration; refresh rate monitoring; refresh rate-based stimulation approach; steady-state visual evoked potential; stimulation approximation approach; stimulation frequency; visual stimuli; Accuracy; Approximation methods; Electroencephalography; Harmonic analysis; Interference; Monitoring; 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.2013.6696127
  • Filename
    6696127