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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2003, 8(3), 311-318;

Application of FFT and Arma Spectral Analysis to Arterial Doppler Signals

Gazi University, Faculty of Technical Education, Department of Electronics and Computer Educatio, 06500 Teknikokullar, Ankara, Turkey
Author to whom correspondence should be addressed.
Published: 1 December 2003
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In this study, Doppler signals recorded from arteries of 105 subjects were processed by PC-computer using fast Fourier transform, and least squares modified Yule-Walker autoregressive moving average methods. By using these spectrum analysis techniques, the variations in the shape of the Doppler spectrums as a function of time were presented in the form of sonograms in order to obtain medical information. These sonograms were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of stenosis and occlusion in arteries. Reliable information on hemodynamic alterations in arteries can be obtained by evaluation of these sonograms.
Keywords: Doppler signal; Spectral analysis; Stenosis; Occlusion Doppler signal; Spectral analysis; Stenosis; Occlusion
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Übeyli, E.D.; Işık, H.; Güler, İ. Application of FFT and Arma Spectral Analysis to Arterial Doppler Signals. Math. Comput. Appl. 2003, 8, 311-318.

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