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Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis

The study investigates the electrooculograph (EOG) signals of eye movement patterns. The behaviours of the eye movement signal is described using wavelet method and combined with the energy distribution features. The features are derived from EOG signals of four type eye movement and recorded using...

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Main Authors: W. Daud, W. M. Bukhari, Sudirman, Rubita
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2011
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/5929/1/JT_54SK_KeluaranKhas_Jan2011_21.pdf
http://eprints.utem.edu.my/id/eprint/5929/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/816
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spelling my.utem.eprints.59292022-01-20T12:41:44Z http://eprints.utem.edu.my/id/eprint/5929/ Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis W. Daud, W. M. Bukhari Sudirman, Rubita T Technology (General) The study investigates the electrooculograph (EOG) signals of eye movement patterns. The behaviours of the eye movement signal is described using wavelet method and combined with the energy distribution features. The features are derived from EOG signals of four type eye movement and recorded using the EEG Data Acquisition System Neurofax EEG–9200. The electrodes were attached to the subjects on the forehead and below the eye. The data is acquired from 15 subjects in a quiet room, in which the recorded data is composed by four different eye movements that are upward, downward, towards to left and towards to right. Wavelet scalogram algorithm is used as the tool because of its capable to distribute the EOG signals energy of eye movement with the change of time and frequency. From the results, it indicated that the energy distribution of EOG signals exhibit different patterns in their corresponding movements as follow: level 6 (8–16 Hz) for left eye movement; level 7 (4–8 Hz) for upward; level 8 (2–4 Hz) for right and level 9 (1–2 Hz) for downward. Universiti Teknologi Malaysia 2011-01 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/5929/1/JT_54SK_KeluaranKhas_Jan2011_21.pdf W. Daud, W. M. Bukhari and Sudirman, Rubita (2011) Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis. Jurnal Teknologi , 54 Spe. pp. 299-309. ISSN 2180-3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/816
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)
W. Daud, W. M. Bukhari
Sudirman, Rubita
Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
description The study investigates the electrooculograph (EOG) signals of eye movement patterns. The behaviours of the eye movement signal is described using wavelet method and combined with the energy distribution features. The features are derived from EOG signals of four type eye movement and recorded using the EEG Data Acquisition System Neurofax EEG–9200. The electrodes were attached to the subjects on the forehead and below the eye. The data is acquired from 15 subjects in a quiet room, in which the recorded data is composed by four different eye movements that are upward, downward, towards to left and towards to right. Wavelet scalogram algorithm is used as the tool because of its capable to distribute the EOG signals energy of eye movement with the change of time and frequency. From the results, it indicated that the energy distribution of EOG signals exhibit different patterns in their corresponding movements as follow: level 6 (8–16 Hz) for left eye movement; level 7 (4–8 Hz) for upward; level 8 (2–4 Hz) for right and level 9 (1–2 Hz) for downward.
format Article
author W. Daud, W. M. Bukhari
Sudirman, Rubita
author_facet W. Daud, W. M. Bukhari
Sudirman, Rubita
author_sort W. Daud, W. M. Bukhari
title Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
title_short Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
title_full Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
title_fullStr Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
title_full_unstemmed Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
title_sort wavelet frequency estimation parameter of energy distribution for electrooculograph signal analysis
publisher Universiti Teknologi Malaysia
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/5929/1/JT_54SK_KeluaranKhas_Jan2011_21.pdf
http://eprints.utem.edu.my/id/eprint/5929/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/816
_version_ 1724077938634129408
score 13.211869

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