• DocumentCode
    2479488
  • Title

    Implementation of automatic feature selection methods for BCI realization

  • Author

    Majkowski, Andrzej ; Kolodziej, Marcin ; Rak, Remigiusz J.

  • Author_Institution
    Inst. of Theor. of Electr. Eng. & Meas. & Inf. Syst., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2012
  • fDate
    13-16 May 2012
  • Firstpage
    1286
  • Lastpage
    1289
  • Abstract
    The main task of brain-computer interface is to translate signals generated by neurons of the brain into commands. For the effective operation of BCI, efficient methods of feature selection of EEG signal are needed. In this article authors propose the use of correlation and t-statistics to feature selection.
  • Keywords
    brain-computer interfaces; electroencephalography; feature extraction; neural nets; statistics; BCI realization; EEG signal; automatic feature selection method; brain-computer interface; neurons; t-statistics; Brain computer interfaces; Correlation; Electrodes; Electroencephalography; Feature extraction; Scalp; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
  • Conference_Location
    Graz
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4577-1773-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2012.6229340
  • Filename
    6229340
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2479488