• DocumentCode
    2254050
  • Title

    EEG feature extraction using parametric and non-parametric models

  • Author

    Shiman, F. ; Safavi, S.H. ; Vaneghi, F.M. ; Oladazimi, M. ; Safari, M.J. ; Ibrahim, F.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2012
  • fDate
    5-7 Jan. 2012
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis.
  • Keywords
    electroencephalography; feature extraction; medical signal processing; nonparametric statistics; EEG analysis; EEG feature extraction; EEG signal; nonparametric method; parametric methods; Analytical models; Brain models; Correlation; Electroencephalography; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-2176-2
  • Electronic_ISBN
    978-1-4577-2175-5
  • Type

    conf

  • DOI
    10.1109/BHI.2012.6211507
  • Filename
    6211507
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2254050