• DocumentCode
    1879838
  • Title

    Frequency component analysis of eeg recording on various visual tasks: Steady-state visual evoked potential experiment

  • Author

    Inkaew, Narongrit ; Charoenkitkamjorn, Nattaphon ; Yangpaiboon, Chongkon ; Phothisonothai, Montri ; Nuthong, Chaiwat

  • Author_Institution
    Int. Coll., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2015
  • fDate
    28-31 Jan. 2015
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    Nowadays, steady-state visual evoked potential (SSVEP) is ongoing in many research topics. It also plays an important role in the response to various visual stimuli such as flickering rate (F), intensity (I), and duty cycle (D). The SSVEPs are practical and useful in research because of its excellent signal-to-noise ratio and relative immunity to artifacts. The application of using SSVEP-based system has been widely succeeded in many disciplines. In this paper, we investigate SSVEP corresponding to the different visual stimulation in terms of frequency component analysis in the four principal frequency bands, i.e., delta (0.1-3.5 Hz), theta (4.0-7.5 Hz), alpha (8.0-13.0 Hz), and beta (14.0-30.0 Hz). Subjects were instructed to fixate LED light source then record associated SSVEP waveform. The variation in displaying of the presentation stimuli during a task was examined. Experimental results showed that the major frequency distribution has been found in theta and alpha bands.
  • Keywords
    electroencephalography; medical signal processing; neurophysiology; noise; visual evoked potentials; EEG recording; LED light source; SSVEP-based system; frequency 0.1 Hz to 3.5 Hz; frequency 14.0 Hz to 30.0 Hz; frequency 4.0 Hz to 7.5 Hz; frequency 8.0 Hz to 13.0 Hz; frequency component analysis; signal-to-noise ratio; steady-state visual evoked potential experiment; visual stimulation; visual stimuli; Band-pass filters; Biometrics (access control); Electroencephalography; Frequency control; Light sources; Steady-state; Visualization; EEG; Electroencephalogram; Frequency analysis; SSVEP; Steady-state Visually Evoked Potential; Visual stimuli;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge and Smart Technology (KST), 2015 7th International Conference on
  • Conference_Location
    Chonburi
  • Print_ISBN
    978-1-4799-6048-4
  • Type

    conf

  • DOI
    10.1109/KST.2015.7051483
  • Filename
    7051483