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...

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Published in:Journal of medical systems 2002-06, Vol.26 (3), p.241-247
Main Author: Akin, M
Format: Article
Language:English
Subjects:
Brain diseases
Brain Diseases - diagnosis
Brain Diseases - physiopathology
Data Interpretation, Statistical
Diagnosis
Diagnosis, Computer-Assisted
Electroencephalograms
Electroencephalography - statistics & numerical data
Fourier Analysis
Fourier transforms
Humans
Medical informatics
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Spectral analysis
Wavelet transform
Wavelet transforms
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description 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.
doi_str_mv 10.1023/a:1015075101937
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source Library & Information Science Abstracts (LISA); Springer Nature
subjects Brain diseases
Brain Diseases - diagnosis
Brain Diseases - physiopathology
Data Interpretation, Statistical
Diagnosis
Diagnosis, Computer-Assisted
Electroencephalograms
Electroencephalography - statistics & numerical data
Fourier Analysis
Fourier transforms
Humans
Medical informatics
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Spectral analysis
Wavelet transform
Wavelet transforms
title Comparison of wavelet transform and FFT methods in the analysis of EEG signals
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