Literature DB >> 12617353

Determination of stenosis and occlusion in arteries with the application of FFT, AR, and ARMA methods.

Elif Derya Ubeyli1, Inan Güler.   

Abstract

Doppler ultrasound is a noninvasive technique that allows the examination of the direction, velocity, and volume of blood flow. Therefore, Doppler ultrasonography is known as reliable technique, which demonstrates the flow characteristics and resistance of arteries in various vascular disease. In this study, arterial Doppler signals recorded from 105 subjects were processed by PC-computer using fast Fourier transform, Burg autoregressive, and least squares modified Yule-Walker autoregressive moving average methods. Doppler power spectrums of arterial Doppler signals were obtained by using these spectrum analysis techniques. The variations in the shape of the Doppler power 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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Year:  2003        PMID: 12617353     DOI: 10.1023/a:1021814025877

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  7 in total

1.  Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique.

Authors:  I Güler; F Hardalaç; S Müldür
Journal:  Comput Biol Med       Date:  2001-07       Impact factor: 4.589

2.  Modern spectral analysis techniques for blood flow velocity and spectral measurements with pulsed Doppler ultrasound.

Authors:  J Y David; S A Jones; D P Giddens
Journal:  IEEE Trans Biomed Eng       Date:  1991-06       Impact factor: 4.538

3.  Application of autoregressive and Fast Fourier Transform spectral analysis to tricuspid and mitral valve stenosis.

Authors:  I Güler; S Kara; N F Güler; M K Kiymik
Journal:  Comput Methods Programs Biomed       Date:  1996-01       Impact factor: 5.428

4.  Spectral broadening of clinical Doppler signals using FFT and autoregressive modelling.

Authors:  P I Keeton; F S Schlindwein
Journal:  Eur J Ultrasound       Date:  1998-08

5.  A study of the spectral broadening of simulated Doppler signals using FFT and AR modelling.

Authors:  P I Keeton; F S Schlindwein; D H Evans
Journal:  Ultrasound Med Biol       Date:  1997       Impact factor: 2.998

6.  Comparison of FFT- and AR-based sonogram outputs of 20 MHz pulsed Doppler data in real time.

Authors:  N F Güler; M K Kiymik; I Güler
Journal:  Comput Biol Med       Date:  1995-07       Impact factor: 4.589

7.  Autoregressive-based sonogram outputs of 20 MHz pulsed Doppler data.

Authors:  N F Güler; M K Kiymik; I Güler
Journal:  Med Prog Technol       Date:  1995-05
  7 in total
  2 in total

1.  AR spectral analysis technique for human PPG, ECG and EEG signals.

Authors:  Elif Derya Ubeyli; Dean Cvetkovic; Irena Cosic
Journal:  J Med Syst       Date:  2008-06       Impact factor: 4.460

2.  A survey on application of quantitative methods on analysis of brain parameters changing with temperature.

Authors:  Ayşe Demirhan; Memduh Kaymaz; Raşit Ahıska; Inan Güler
Journal:  J Med Syst       Date:  2009-06-09       Impact factor: 4.460

  2 in total

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