• DocumentCode
    74044
  • Title

    Evaluation of Healthy EEG Responses for Spelling Through Listener-Assisted Scanning

  • Author

    Horki, Petar ; Klobassa, Daniela S. ; Pokorny, Christoph ; Muller-Putz, Gernot R.

  • Author_Institution
    Lab. for Brain-Comput. Interfaces, Graz Univ. of Technol., Graz, Austria
  • Volume
    19
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    29
  • Lastpage
    36
  • Abstract
    We investigated whether listener-assisted scanning, an alternative communication method for persons with severe motor and visual impairments but preserved cognitive skills, could be used for spelling with EEG. To that end spoken letters were presented sequentially, and the participants made selections by performing motor execution/imagery or a cognitive task. The motor task was a brisk dorsiflexion of both feet, and the cognitive task was related to working memory and perception of human voice. The motor imagery task yielded the most promising results with respect to letter selection accuracy, albeit with a large variation in individual performance. The cognitive task yielded significant (p = 0.05) albeit moderate results. Closer inspection of grand average ERPs for the cognitive task revealed task-related modulation of a late negative component, which is novel in the auditory BCI literature. Guidelines for further development are presented.
  • Keywords
    auditory evoked potentials; brain-computer interfaces; cognition; electroencephalography; medical signal processing; speech; visual perception; alternative communication method; auditory BCI literature; brisk dorsiflexion; cognitive skills; cognitive task; grand average ERPs; healthy EEG responses; human voice perception; late negative component; letter selection accuracy; listener-assisted scanning; motor execution-imagery; motor imagery task; task-related modulation; visual impairments; working memory; Accuracy; Brain-computer interfaces; Educational institutions; Electrodes; Electroencephalography; Feature extraction; Visualization; Assistive technology; brain???computer interfaces; electroencephalography;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2014.2328494
  • Filename
    6846267