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Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction

The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favoured tool for the analyzing the biomedical signals. In this study, we describe the identification of Electro-oculography (EOG) signals of eye movement...

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Main Author: Wan Daud, Wan Mohd Bukhari
Format: Article
Language:English
Published: The Indonesian Journal of ICT and Internet Development 2011
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/6050/1/iij_vol3_no1_2011_covers.pdf
http://eprints.utem.edu.my/id/eprint/6050/
http://www.InternetworkingIndonesia.org
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spelling my.utem.eprints.60502022-01-20T15:58:44Z http://eprints.utem.edu.my/id/eprint/6050/ Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction Wan Daud, Wan Mohd Bukhari T Technology (General) The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favoured tool for the analyzing the biomedical signals. In this study, we describe the identification of Electro-oculography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. The capability of wavelet transform is to distribute the signal energy with the change of time in different frequency bands. This will show the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes placed on the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. This technique is adopted because it is a non-invasive, inexpensive and accurate. The new technology enhancement has allowed the EOG signals captured using the Neurofax EEG-9200. The recorded data is composed of an eye movement toward four directions, i.e. downward, upward, leftward and rightward. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) with energy algorithm and by comparing the energy distribution with the change of time and frequency of each signal. A wavelet scalogram is plotted to display the different percentages of energy for each wavelet coefficient towards different movement. From the result, it is proved that the different EOG signals exhibit differences in signals energy with their corresponding scale such as leftward with scale 6 (8-16Hz), rightward with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz). The Indonesian Journal of ICT and Internet Development 2011 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/6050/1/iij_vol3_no1_2011_covers.pdf Wan Daud, Wan Mohd Bukhari (2011) Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction. Internetworking Indonesia Journal, 3 (1). pp. 3-10. ISSN 1942-9703 http://www.InternetworkingIndonesia.org
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Wan Daud, Wan Mohd Bukhari
Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
description The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favoured tool for the analyzing the biomedical signals. In this study, we describe the identification of Electro-oculography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. The capability of wavelet transform is to distribute the signal energy with the change of time in different frequency bands. This will show the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes placed on the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. This technique is adopted because it is a non-invasive, inexpensive and accurate. The new technology enhancement has allowed the EOG signals captured using the Neurofax EEG-9200. The recorded data is composed of an eye movement toward four directions, i.e. downward, upward, leftward and rightward. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) with energy algorithm and by comparing the energy distribution with the change of time and frequency of each signal. A wavelet scalogram is plotted to display the different percentages of energy for each wavelet coefficient towards different movement. From the result, it is proved that the different EOG signals exhibit differences in signals energy with their corresponding scale such as leftward with scale 6 (8-16Hz), rightward with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz).
format Article
author Wan Daud, Wan Mohd Bukhari
author_facet Wan Daud, Wan Mohd Bukhari
author_sort Wan Daud, Wan Mohd Bukhari
title Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
title_short Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
title_full Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
title_fullStr Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
title_full_unstemmed Wavelet Approach on Frequency Energy Distribution of Electrooculography Potential Towards Direction
title_sort wavelet approach on frequency energy distribution of electrooculography potential towards direction
publisher The Indonesian Journal of ICT and Internet Development
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/6050/1/iij_vol3_no1_2011_covers.pdf
http://eprints.utem.edu.my/id/eprint/6050/
http://www.InternetworkingIndonesia.org
_version_ 1724077939664879616
score 13.211869

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