• DocumentCode
    2085694
  • Title

    Recursive channel selection techniques for brain computer interfaces

  • Author

    Oliver, Gabriel ; Sunehag, P. ; Gedeon, Tom

  • Author_Institution
    Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    1753
  • Lastpage
    1756
  • Abstract
    Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.
  • Keywords
    brain-computer interfaces; electroencephalography; medical signal processing; EEG data; automated channel selection; brain computer interfaces; recursive channel elimination; recursive channel selection techniques; repeated recursive channel insertion; Accuracy; Brain computer interfaces; Conferences; Electroencephalography; Feature extraction; Support vector machines; Training data; Algorithms; Brain-Computer Interfaces; Electroencephalography; Humans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346288
  • Filename
    6346288
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2085694