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
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