• DocumentCode
    3080716
  • Title

    An offline auditory P300 brain-computer interface using principal and independent component analysis techniques for functional electrical stimulation application

  • Author

    Bentley, Alexander S.J. ; Andrew, Colin M. ; John, Lester R.

  • Author_Institution
    MRC/UCT Medical Imaging Research Unit, University of Cape Town, Faculty of Health Sciences, Observatory, 7925, South Africa
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    4660
  • Lastpage
    4663
  • Abstract
    A brain-computer interface (BCI) provides technology that allows communication and control for people who are unable to interact with their environment. A P300 BCI exploits the fact that external or internal stimuli may provide a recognition response in the brain´s electrical activity which may be recorded by an electroencephalogram (EEG) to act as a control signal. Additionally an auditory BCI does not require the user to avert their visual attention away from the task at hand and is thus more practical in a real environment than other visual stimulus BCIs.
  • Keywords
    Africa; Biomedical imaging; Brain computer interfaces; Cities and towns; Communication system control; Independent component analysis; Neuromuscular stimulation; Observatories; Principal component analysis; Prosthetics; Algorithms; Brain; Brain Mapping; Communication Aids for Disabled; Diagnosis, Computer-Assisted; Electric Stimulation Therapy; Electroencephalography; Event-Related Potentials, P300; Humans; Models, Theoretical; Principal Component Analysis; Reproducibility of Results; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650252
  • Filename
    4650252