• DocumentCode
    1407996
  • Title

    Independence of Amplitude-Frequency and Phase Calibrations in an SSVEP-Based BCI Using Stepping Delay Flickering Sequences

  • Author

    Chang, Hsiang-Chih ; Lee, Po-Lei ; Lo, Men-Tzung ; Lee, I. -Hui ; Yeh, Ting-Kuang ; Chang, Chun-Yen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Central Univ., Jhongli, Taiwan
  • Volume
    20
  • Issue
    3
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    305
  • Lastpage
    312
  • Abstract
    This study proposes a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) independent of amplitude-frequency and phase calibrations. Six stepping delay flickering sequences (SDFSs) at 32-Hz flickering frequency were used to implement a six-command BCI system. EEG signals recorded from Oz position were first filtered within 29-35 Hz, segmented based on trigger events of SDFSs to obtain SDFS epochs, and then stored separately in epoch registers. An epoch-average process suppressed the inter-SDFS interference. For each detection point, the latest six SDFS epochs in each epoch register were averaged and the normalized power of averaged responses was calculated. The visual target that induced the maximum normalized power was identified as the visual target. Eight subjects were recruited in this study. All subjects were requested to produce the “563241” command sequence four times. The averaged accuracy, command transfer interval, and information transfer rate (mean std.) values for all eight subjects were 97.38 5.97%, 3.56 0.68 s, and 42.46 11.17 bits/min, respectively. The proposed system requires no calibration in either the amplitude-frequency characteristic or the reference phase of SSVEP which may provide an efficient and reliable channel for the neuromuscular disabled to communicate with external environments.
  • Keywords
    brain-computer interfaces; calibration; delay filters; electroencephalography; medical signal processing; neuromuscular stimulation; visual evoked potentials; EEG signal recording; amplitude-frequency independence; command transfer interval; epoch registers; epoch-average process; filtering; frequency 29 Hz to 35 Hz; information transfer rate; maximum normalized power; neuromuscular channel; phase calibrations; signal processing; steady-state visual evoked potential based brain-computer interface; stepping delay flickering sequences; Accuracy; Calibration; Delay; Electroencephalography; Registers; Silicon; Visualization; Brain–computer interface (BCI); electroencephalography (EEG); steady-state visual evoked potential (SSVEP); stepping delay flickering sequence (SDFS); Adult; Algorithms; Analog-Digital Conversion; Brain; Calibration; Electrodes; Electroencephalography; Evoked Potentials, Visual; Female; Fixation, Ocular; Fourier Analysis; Humans; Male; Online Systems; Photic Stimulation; Psychomotor Performance; Signal Processing, Computer-Assisted; User-Computer Interface; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2011.2180925
  • Filename
    6112237