• DocumentCode
    1629356
  • Title

    EEG signal analysis based on quasi-AR model: application to EEG signals during right and left motor imagery

  • Author

    Inoue, Katsuhiro ; Kajikawa, Ryo ; Nakamura, T. ; Pfurtscheller, Gert ; Kumamaru, Kousuke

  • Author_Institution
    Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2197
  • Abstract
    In this paper, quasi-AR model is introduced in order to analyze EEG signals. And it is discussed that feature extraction method by using linear structure of quasi-AR model, and statistical pattern recognition method. Applying to EEG signals during right and left motor imagery, the validity of quasi-AR model is confirmed.
  • Keywords
    autoregressive processes; electroencephalography; feature extraction; medical signal processing; EEG signal analysis; feature extraction method; motor imagery; quasiAR model; statistical pattern recognition method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2004 Annual Conference
  • Conference_Location
    Sapporo
  • Print_ISBN
    4-907764-22-7
  • Type

    conf

  • Filename
    1491810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1629356