• DocumentCode
    1551361
  • Title

    Analysis of pattern reversal visual evoked potentials (PRVEPs) by spline wavelets

  • Author

    Ademoglu, Ahmet ; Micheli-Tzanakou, Evangelia ; Istefanopoulos, Y.

  • Author_Institution
    Inst. of Biomed. Eng., Bogazici Univ., Istanbul, Turkey
  • Volume
    44
  • Issue
    9
  • fYear
    1997
  • Firstpage
    881
  • Lastpage
    890
  • Abstract
    The pattern-reversal visual evoked potentials (PRVEPs) collected from normal and demented subjects are investigated by applying the quadratic spline wavelet analysis. The data are decomposed into six octave frequency bands. For quantitative purposes, the wavelet coefficients in the residual waveform representing the delta-theta band activity (0-8 Hz) are explored to characterize the (N70-P100-N130) complex. Specifically, the coefficients corresponding to the location of N70, P100, and N130 peaks are investigated for their sign in order to test whether they represent a consistent (N70-P100-N130) complex in the averaged waveform. Waveforms with normal latency (N70-P100-N130) complex are observed to have positive second, negative third, and positive fourth coefficients in amplitude in their residual scale standing for the delta-theta (0-8 Hz) band activity. The method allows for the analysis of oscillatory-phase behaviour of the normal and pathological PRVEPs in their delta-theta band based on a few quantitative measures consistent with the time-frequency occurrence of the major components of the evoked potential.
  • Keywords
    electroencephalography; medical signal processing; splines (mathematics); visual evoked potentials; wavelet transforms; 0 to 8 Hz; N70-P100-N130 complex characterization; averaged waveform; delta-theta band activity; demented subjects; electrodiagnostics; normal subjects; octave frequency bands; oscillatory-phase behaviour; pathological evoked potentials; pattern reversal visual evoked potentials analysis; quadratic spline wavelet analysis; residual waveform; time-frequency occurrence; Alzheimer´s disease; Bioelectric phenomena; Delay; Dementia; Electric potential; Electroencephalography; Pattern analysis; Spline; Testing; Wavelet analysis; Alzheimer Disease; Delta Rhythm; Electroencephalography; Evoked Potentials, Visual; Humans; Reaction Time; Signal Processing, Computer-Assisted; Theta Rhythm;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.623057
  • Filename
    623057