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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Bibliographic Details
Main Authors: Sudirman, Rubita, W. Daud, W. M. Bukhari
Format: Conference or Workshop Item
Published: 2011
Subjects:
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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