Comparison of wavelet transform and FFT methods in the analysis of EEG signals.
In this study, whether the wavelet transform method is better for spectral analysis of the brain signals is investigated. For this purpose, as a spectral analysis tool, wavelet transform is compared with fast Fourier transform (FFT) applied to the electroencephalograms (EEG), which have been used in the previous studies. In addition, the time-domain characteristics of the wavelet transform are also detected. The comparison results show that the wavelet transform method is better in detecting brain diseases.
Akin
M
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Department of Electric and Electronic Engineering, Dicle University, Diyarbakir, Turkey.
D001927:Brain Diseases / Q000175:diagnosis* / Q000503:physiopathology; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005583:Fourier Analysis; D006801:Humans; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted