Application of classical and model-based spectral methods to ophthalmic arterial Doppler signals with uveitis disease.
In this study, Doppler signals recorded from ophthalmic artery of 75 subjects were processed by PC-computer using classical and model-based methods. The classical method (fast Fourier transform) and three model-based methods (Burg autoregressive, moving average, least-squares modified Yule-Walker autoregressive moving average methods) were selected for processing ophthalmic arterial Doppler signals with uveitis disease. Doppler power spectra of ophthalmic arterial Doppler signals were obtained by using these spectrum analysis techniques. The variations in the shape of the Doppler spectra as a function of time were presented in the form of sonograms in order to obtain medical information. These Doppler spectra and sonograms were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of uveitis disease.
Güler
Inan
I
Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey. iguler@tef.gazi.edu.tr
Ubeyli
Elif Derya
ED
D000293:Adolescent; D000328:Adult; D001783:Blood Flow Velocity / Q000502:physiology; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009880:Ophthalmic Artery / Q000000981:diagnostic imaging*; D012815:Signal Processing, Computer-Assisted; D013057:Spectrum Analysis; D018608:Ultrasonography, Doppler / Q000379:methods*; D014605:Uveitis / Q000000981:diagnostic imaging* / Q000503:physiopathology