Discrete wavelet transform for analysis of spike-wave discharges in rats.
In this paper, the discrete wavelet transform (DWT) as a feature extraction method was used in representing the spike-wave discharges (SWD) records of 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.
Ubeyli
Elif Derya
ED
TOBB Economics and Technology University, Faculty of Engineering, Department of Electrical and Electronics Engineering, 06530 Sogutozu, Ankara, Turkey. edubeyli@etu.edu.tr
Ilbay
Gul
G
Sahin
Deniz
D
Ates
Nurbay
N
D000465:Algorithms; D000818:Animals; D002746:Chlorpromazine / Q000627:therapeutic use; D003627:Data Interpretation, Statistical; D004566:Electrodes; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000187:drug effects / Q000379:methods / Q000706:statistics & numerical data*; D007649:Ketamine / Q000627:therapeutic use; D008297:Male; D015233:Models, Statistical; D008962:Models, Theoretical; D051381:Rats; D017208:Rats, Wistar; D015203:Reproducibility of Results
D007649:Ketamine; D002746:Chlorpromazine