DocumentCode :
320113
Title :
Analysis of visual evoked potentials using a wavelet decomposition algorithm
Author :
Lee, Yong H. ; Kim, Jun S. ; Park, Hyun S. ; Kim, Sun I. ; Lee, Doo S.
Author_Institution :
Dept. of Electron. Eng., Hanyang Univ., Seoul, South Korea
Volume :
3
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
1001
Abstract :
For accurate and reliable analysis of visual evoked potential (EP) signals, one can utilize a time-frequency analysis technique called the wavelet transform. Because the wavelet transform decomposes time-varying EP signals into dilated lowpass components and contracted highpass components, the wavelet analysis of the EP can utilize the high frequency components which were embedded in the regular EP signal. In this paper, the authors present EP signal features which are obtained at the low and high frequency regions at the levels of resolution used
Keywords :
feature extraction; medical signal processing; time-frequency analysis; visual evoked potentials; wavelet transforms; clinical diagnosis; contracted highpass components; dilated lowpass components; electrodiagnostics; signal features; visual evoked potentials analysis; wavelet decomposition algorithm; Algorithm design and analysis; Electric potential; Filters; Signal analysis; Signal processing algorithms; Signal resolution; Time frequency analysis; Virtual manufacturing; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.652680
Filename :
652680
Link To Document :
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