Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
WMBW Daud, R Sudirman - 2011 Fifth Asia Modelling …, 2011 - ieeexplore.ieee.org
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 signals are captured using electrodes place don the forehead
around the eyes to record the eye movements. The wavelet features are used to determine
the characteristic of eye movement waveform. The recorded data is composed of an 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 signals are captured using electrodes place don the forehead
around the eyes to record the eye movements. The wavelet features are used to determine
the characteristic of eye movement waveform. The recorded data is composed of an eye …
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