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Title: Analysis of spike-wave discharges in rats using discrete wavelet transform
Authors: Übeyli, Elif Derya
İlbay, Gül
Şahin, Deniz
Ateş, Nurbay
Keywords: Discrete wavelet transform
Wavelet coefficients
Spike-wave discharges
WAG/Rij rats
Issue Date: 2009
Publisher: Pergamon-Elsevier Science Ltd
Abstract: A feature is a distinctive or characteristic measurement, transform, structural component extracted from a segment of a pattern. Features are used to represent patterns with the goal of minimizing the loss of important information. The discrete wavelet transform (DWT) as a feature extraction method was used in representing the spike-wave discharges (SWDs) records of Wistar Albino Glaxo/Rijswijk (WAG/Rij) rats. The SWD records of WAG/Rij rats were decomposed into time-frequency representations using the DWT and the statistical features were calculated to depict their distribution. The obtained wavelet coefficients were used to identify characteristics of the signal that were not apparent from the original time domain signal. The present study demonstrates that the wavelet coefficients are useful in determining the dynamics in the time-frequency domain of SWD records. (c) 2009 Elsevier Ltd. All rights reserved.
ISSN: 0010-4825
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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