• DocumentCode
    1702196
  • Title

    Detection of spatial abnormalities in the EEG by spherical harmonic expansion

  • Author

    Shaw, G.R. ; Koles, Z.J.

  • Author_Institution
    Dept. of Appl. Sci. in Med., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    1989
  • Firstpage
    725
  • Abstract
    The application of a spherical harmonic expansion to the spatial aspect of the electroencephalogram (EEG) is explored. Using the method of singular-value decomposition to estimate the coefficients of a truncated expansion, a spatially smoothed EEG is reconstructed. This smoothed EEG is then used to extract a localized feature. The application of this method to the general problem of the detection of localized abnormalities and artifacts is discussed
  • Keywords
    electroencephalography; signal processing; EEG spatial abnormalities detection; artifacts; localised feature extraction; singular-value decomposition; spherical harmonic expansion; truncated expansion coefficients; Data mining; Electrodes; Electroencephalography; Equations; Feature extraction; Least squares approximation; Matrix decomposition; Neodymium; Scalp; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.95952
  • Filename
    95952