Comparison of Wavelet Transform and FFT Methods in the Analysis of EEG Signals
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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.
[1] M. Kemal Kiymik,et al. Application of Periodogram and AR Spectral Analysis to EEG Signals , 2000, Journal of Medical Systems.
[2] Hong-Ye Gao,et al. Wavelet analysis [for signal processing] , 1996 .
[3] Leslie Cromwell. Biomedical Instrumentation and Measurements , 1973 .