Identification of electrooculography signals frequency energy distribution using wavelet algorithm.(Report): An article from: Journal of Computer Science

This digital document is an article from Journal of Computer Science, published by Science Publications on November 1, 2011. The length of the article is 3253 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: Eye movement, signal potentials, wavelet transform, energy distribution, Artificial Neural Network (ANN), Data Acquisition System (DAS), daubechies order, biomedical instrumentation, frequency analysis

Citation Details
Title: Identification of electrooculography signals frequency energy distribution using wavelet algorithm.(Report)
Author: W.M. Bukhari
Publication:Journal of Computer Science (Magazine/Journal)
Date: November 1, 2011
Publisher: Science Publications
Volume: 7 Issue: 11 Page: 1619(7)

Article Type: Report

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