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EEG signal of epiliptic patient by fast Fourier and wavelet transforms

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 anal...

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Main Authors: Maan, Normah, Goh, Chien Yong, Ahmad, Tahir
Format: Article
Language:English
Published: Penerbit UTM 2013
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/50003/1/GohChienYong2013_EEGsignalofepiliipticpatient.pdf
http://eprints.utm.my/id/eprint/50003/
http://dx.doi.org/10.11113/jt.v61.1617
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spelling my.utm.500032018-09-30T08:17:04Z http://eprints.utm.my/id/eprint/50003/ EEG signal of epiliptic patient by fast Fourier and wavelet transforms Maan, Normah Goh, Chien Yong Ahmad, Tahir QA Mathematics 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 Penerbit UTM 2013 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50003/1/GohChienYong2013_EEGsignalofepiliipticpatient.pdf Maan, Normah and Goh, Chien Yong and Ahmad, Tahir (2013) EEG signal of epiliptic patient by fast Fourier and wavelet transforms. Jurnal Teknologi (Sciences and Engineering), 61 (1). pp. 13-20. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v61.1617 DOI: 10.11113/jt.v61.1617
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Maan, Normah
Goh, Chien Yong
Ahmad, Tahir
EEG signal of epiliptic patient by fast Fourier and wavelet transforms
description 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
format Article
author Maan, Normah
Goh, Chien Yong
Ahmad, Tahir
author_facet Maan, Normah
Goh, Chien Yong
Ahmad, Tahir
author_sort Maan, Normah
title EEG signal of epiliptic patient by fast Fourier and wavelet transforms
title_short EEG signal of epiliptic patient by fast Fourier and wavelet transforms
title_full EEG signal of epiliptic patient by fast Fourier and wavelet transforms
title_fullStr EEG signal of epiliptic patient by fast Fourier and wavelet transforms
title_full_unstemmed EEG signal of epiliptic patient by fast Fourier and wavelet transforms
title_sort eeg signal of epiliptic patient by fast fourier and wavelet transforms
publisher Penerbit UTM
publishDate 2013
url http://eprints.utm.my/id/eprint/50003/1/GohChienYong2013_EEGsignalofepiliipticpatient.pdf
http://eprints.utm.my/id/eprint/50003/
http://dx.doi.org/10.11113/jt.v61.1617
_version_ 1643652762308706304
score 13.211869

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