Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution

• Main Authors: Sudirman, Rubita, W. Daud, W. M. Bukhari
• Format: Conference or Workshop Item
• Published: 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/46400/; http://ieeexplore.ieee.org/document/5961219/
• Institution: Universiti Teknologi Malaysia

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...