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Orthogonal and Biorthogonal Wavelet Analysis of Visual Evoked Potentials

by Ahmed Fadhil Hassoney, Abd Khamim Ismail, Hentabli Hamza
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 4
Year of Publication: 2012
Authors: Ahmed Fadhil Hassoney, Abd Khamim Ismail, Hentabli Hamza
10.5120/9684-4119

Ahmed Fadhil Hassoney, Abd Khamim Ismail, Hentabli Hamza . Orthogonal and Biorthogonal Wavelet Analysis of Visual Evoked Potentials. International Journal of Computer Applications. 60, 4 ( December 2012), 50-52. DOI=10.5120/9684-4119

@article{ 10.5120/9684-4119,
author = { Ahmed Fadhil Hassoney, Abd Khamim Ismail, Hentabli Hamza },
title = { Orthogonal and Biorthogonal Wavelet Analysis of Visual Evoked Potentials },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 4 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 50-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number4/9684-4119/ },
doi = { 10.5120/9684-4119 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:47.245114+05:30
%A Ahmed Fadhil Hassoney
%A Abd Khamim Ismail
%A Hentabli Hamza
%T Orthogonal and Biorthogonal Wavelet Analysis of Visual Evoked Potentials
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 4
%P 50-52
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present work the performance of orthogonal and Biorthogonal wavelet filters were analyzed for visual evoked potentials (VEP) on a variety of noisy signals. The signals were analyzed at different signal to noise ratio (SNR). This research proposed a method for the selection of the best analysis. The proposed method used longest common subsequence (LCS) and basic local alignment search tool (BLAST) to measure the analysis performance objectively and visual quality subjectively of the signal analysis. It was found that orthogonal wavelets outperform the biorthogonal ones in both the criteria especially at high noisy signal.

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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet transforms longest common subsequence Basic Local Alignment Search Tool

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