Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm

The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favored tool for the analyzing the biomedical signals. Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potenti...

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Bibliographic Details
Main Authors: W. Daud, W. M. Bukhari, Sudirman, Rubita, Omar, Camallil
Format: Article
Language:English
Published: Science Publications 2011
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Online Access:http://eprints.utem.edu.my/id/eprint/5928/1/jcssp.2011.1619.1625.pdf
http://eprints.utem.edu.my/id/eprint/5928/
http://thescipub.com/html/10.3844/jcssp.2011.1619.1625
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

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