• DocumentCode
    3148
  • Title

    A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control

  • Author

    Yuanqing Li ; Jiahui Pan ; Fei Wang ; Zhuliang Yu

  • Author_Institution
    Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    60
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    3156
  • Lastpage
    3166
  • Abstract
    In this paper, a hybrid brain-computer interface (BCI) system combining P300 and steady-state visual evoked potential (SSVEP) is proposed to improve the performance of asynchronous control. The four groups of flickering buttons were set in the graphical user interface. Each group contained one large button in the center and eight small buttons around it, all of which flashed at a fixed frequency (e.g., 7.5 Hz) to evoke SSVEP. At the same time, the four large buttons of the four groups were intensified through shape and color changes in a random order to produce P300 potential. During the control state, the user focused on a desired group of buttons (target buttons) to evoke P300 potential and SSVEP, simultaneously. Discrimination between the control and idle states was based on the detection of both P300 and SSVEP on the same group of buttons. As an application, this method was used to produce a “go/stop” command in real-time wheelchair control. Several experiments were conducted, and data analysis results showed that combining P300 potential and SSVEP significantly improved the performance of the BCI system in terms of detection accuracy and response time.
  • Keywords
    bioelectric potentials; brain-computer interfaces; graphical user interfaces; handicapped aids; medical control systems; visual evoked potentials; wheelchairs; P300 potential; SSVEP; asynchronous control; control state; go-stop command; graphical user interface; hybrid BCI system; hybrid brain-computer interface; real time wheelchair control; steady state visual evoked potential; Brain modeling; Electroencephalography; Graphical user interfaces; Wheelchairs; Asynchronous control; P300; hybrid brain–computer interface (BCI); steady-state visual evoked potential (SSVEP); wheelchair; Adult; Biomedical Engineering; Brain-Computer Interfaces; Electroencephalography; Event-Related Potentials, P300; Evoked Potentials, Visual; Humans; ROC Curve; Reproducibility of Results; Signal Processing, Computer-Assisted; User-Computer Interface; Wheelchairs; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2270283
  • Filename
    6544569