• DocumentCode
    1580793
  • Title

    Laboratory PC and Mobile Pocket PC Brain-Computer Interface Architectures

  • Author

    Edlinger, G. ; Guger, C.

  • Author_Institution
    G.tec - medical engineering GmbH, Graz
  • fYear
    2006
  • Firstpage
    5347
  • Lastpage
    5350
  • Abstract
    EEG-based brain-computer interface (BCI) systems convert brain activity into control signals and have been developed for people with severe disabilities to improve their quality of life. A BCI system has to satisfy different demands depending on the application area. A laboratory PC based system allows the flexible design of multiple/single channel feature extraction, classification methods and experimental paradigms. The key advantage of a pocket PC based BCI approach is its small dimension and battery supply. Hence a mobile BCI system e.g. mounted on a wheelchair can be realized. This study compares and discusses thoroughly the two mentioned approaches
  • Keywords
    electroencephalography; feature extraction; handicapped aids; medical diagnostic computing; medical signal processing; mobile computing; notebook computers; signal classification; EEG; brain-computer interface; classification methods; laboratory PC; mobile pocket PC; multiple channel feature extraction; single channel feature extraction; wheelchair; Application software; Biomedical engineering; Brain computer interfaces; Control systems; Data acquisition; Electrodes; Electroencephalography; Feature extraction; Hardware; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615689
  • Filename
    1615689