Open AccessEEG Signal of Epiliptic Patient by Fast Fourier and Wavelet Transforms
Author(s) -
Goh Chien Yong,
Normah Maan,
Tahir Ahmad
Publication year - 2013
Publication title -
jurnal teknologi/jurnal teknologi
Language(s) - English
Resource type - Journals
eISSN - 2180-3722
pISSN - 0127-9696
DOI - 10.11113/jt.v61.1617
Subject(s) - fast fourier transform , electroencephalography , wavelet , computer science , signal (programming language) , wavelet transform , signal processing , pattern recognition (psychology) , artificial intelligence , speech recognition , digital signal processing , algorithm , psychology , computer hardware , psychiatry , programming language
Electroencephalography (EEG) is one of the field in diagnosing g epilepsy. Analysis of the EEG records can provide valuable insight and improve understanding of the mechanisms causing epileptic disorders. In this paper, the fast Fourier transform (FFT) and wavelet transform are used as spectral analysis tools of the EEG signals. These methods are chosen because they provide time–frequency shifted on the EEG signals. Since the frequency characteristics are important information that can be observed from the signals, FFT and wavelet transform are among a the best methods in analysis of EEG signals. The comparisons between these two methods are also carried out. Result showed that the wavelet transform is better than FFT in analysis of EEG signals. A software for analysing EEG signal is also developed using C++ programming. The software is able to compute and show the results of the analysis signal data by both of the two methods in graphical form.