• DocumentCode
    9844
  • Title

    A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP

  • Author

    Erwei Yin ; Zongtan Zhou ; Jun Jiang ; Fanglin Chen ; Yadong Liu ; Dewen Hu

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    61
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    473
  • Lastpage
    483
  • Abstract
    This study proposes a novel hybrid brain-computer interface (BCI) approach for increasing the spelling speed. In this approach, the P300 and steady-state visually evoked potential (SSVEP) detection mechanisms are devised and integrated so that the two brain signals can be used for spelling simultaneously. Specifically, the target item is identified by 2-D coordinates that are realized by the two brain patterns. The subarea/location and row/column speedy spelling paradigms were designed based on this approach. The results obtained for 14 healthy subjects demonstrate that the average online practical information transfer rate, including the time of break between selections and error correcting, achieved using our approach was 53.06 bits/min. The pilot studies suggest that our BCI approach could achieve higher spelling speed compared with the conventional P300 and SSVEP spellers.
  • Keywords
    brain; brain-computer interfaces; medical signal detection; medical signal processing; visual evoked potentials; 2-D coordinates; BCI approach; P300 spellers; SSVEP detection mechanisms; SSVEP spellers; brain patterns; brain signals; hybrid brain-computer interface; online practical information transfer rate; row-column speedy spelling paradigms; speedy hybrid BCI spelling approach; steady-state visually evoked potential detection; subarea-location speedy spelling paradigms; Accuracy; Ash; Calibration; Electric potential; Electroencephalography; Feature extraction; Signal processing; Brain–computer interface (BCI); P300 potential; electroencephalogram (EEG); hybrid BCI; steady-state visually evoked potential (SSVEP);
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2281976
  • Filename
    6600847