• DocumentCode
    1629240
  • Title

    Feature extraction of EEG signals during right and left motor imagery

  • Author

    Inoue, Katsuluro ; Mori, Daiki ; Sugioka, Kota ; Pfurtscheller, Gert ; Kumamaru, Kousuke

  • Author_Institution
    Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2183
  • Abstract
    In this paper, feature extraction of EEG signals during right and left motor imagery is tried. As the extraction method, directed information analysis, pattern recognition based on AR model, and mixture probability algorithm based on AR model is used. The learning and feature extraction method in pattern recognition are discussed through the experimental studies.
  • Keywords
    autoregressive processes; electroencephalography; feature extraction; medical signal processing; neurophysiology; probability; AR model; EEG signal; feature extraction; motor imagery; pattern recognition; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2004 Annual Conference
  • Conference_Location
    Sapporo
  • Print_ISBN
    4-907764-22-7
  • Type

    conf

  • Filename
    1491807
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1629240