Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution

In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG si...

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Main Authors: Sudirman, Rubita, W. Daud, W. M. Bukhari
Format: Conference or Workshop Item
Published: 2011
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Online Access:http://eprints.utm.my/id/eprint/46400/
http://ieeexplore.ieee.org/document/5961219/
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.464002017-07-06T03:44:59Z http://eprints.utm.my/id/eprint/46400/ Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution Sudirman, Rubita W. Daud, W. M. Bukhari TK Electrical engineering. Electronics Nuclear engineering In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes place don the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. The recorded data is composed of an eye movement toward four directions, i.e. upward, downward, left and right. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) 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 left with scale 6 (8-16Hz), right with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz). 2011 Conference or Workshop Item PeerReviewed Sudirman, Rubita and W. Daud, W. M. Bukhari (2011) Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution. In: Asia Modelling Symposium 2011 (AMS 2011). http://ieeexplore.ieee.org/document/5961219/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sudirman, Rubita
W. Daud, W. M. Bukhari
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
description In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes place don the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. The recorded data is composed of an eye movement toward four directions, i.e. upward, downward, left and right. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) 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 left with scale 6 (8-16Hz), right with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz).
format Conference or Workshop Item
author Sudirman, Rubita
W. Daud, W. M. Bukhari
author_facet Sudirman, Rubita
W. Daud, W. M. Bukhari
author_sort Sudirman, Rubita
title Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
title_short Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
title_full Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
title_fullStr Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
title_full_unstemmed Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
title_sort time frequency analysis of electrooculograph (eog) signal of eye movement potentials based on wavelet energy distribution
publishDate 2011
url http://eprints.utm.my/id/eprint/46400/
http://ieeexplore.ieee.org/document/5961219/
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