Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Electro-oculogram; eye movement; signal potentials; wavelet transform; scalogram
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	Mr. Wan Mohd Bukhari Wan Daud
Date Deposited:	19 Sep 2012 09:16
Last Modified:	20 Jan 2022 12:41
URI:	http://eprints.utem.edu.my/id/eprint/5929
Statistic Details:	View Download Statistic

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