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...
Saved in:
Main Authors: | Sudirman, Rubita, Daud, W. M. B. W. |
---|---|
Format: | Book Section |
Published: |
IEEE
2011
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/30103/ http://dx.doi.org/10.1109/AMS.2011.26 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
by: Sudirman, Rubita, et al.
Published: (2011) -
Electrooculograph Signals of Eye Movement Behavior with Reconstruction Wavelet Energy Distribution
by: W. Daud, W. M. Bukhari, et al.
Published: (2012) -
Wavelet approach on frequency energy distribution of electrooculograph potential towards direction
by: Bukhari, W. M., et al.
Published: (2011) -
Wavelet Frequency Estimation Parameter Of Energy Distribution For Electrooculograph Signal Analysis
by: W. Daud, W. M. Bukhari, et al.
Published: (2011) -
Wavelet frequency estimation parameter of energy distribution for electrooculograph signal analysis
by: Wan Daud, Wan Mohd. Bukhari, et al.
Published: (2011)