title: Comparison of wavelet transform and FFT methods in the analysis of EEG signals.
abstract: 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.
authors.affiliation: Department of Electric and Electronic Engineering, Dicle University, Diyarbakir, Turkey.
authors.forename: M
authors.initials: M
authors.lastname: Akin
mesh_terms: 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