Reliable information on hemodynamic alterations in arteries can be obtained by evaluation of these sonograms.
📌 3 Key Takeaways
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Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact:Reliable information on hemodynamic alterations in arteries can be obtained by evaluation of these sonograms.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
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.
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Cite This Article
ÜBEYLİ, E. D., IŞIK, H., GÜLER, İ. (2003). Application of FFT and ARMA spectral analysis to arterial doppler signals. Mathematical and Computational Applications, Cilt: 8 - Sayı: 1, 311–318. https://ajindex.com/articles/280154
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