Literature DB >> 20703615

Correlation dimension analysis of Doppler signals in children with aortic valve disorders.

Derya Yılmaz1, N Fatma Güler.   

Abstract

In this study, the correlation dimension analysis has been applied to the aortic valve Doppler signals to investigate the complexity of the Doppler signals which belong to aortic stenosis (AS) and aortic insufficiency (AI) diseases and healthy case. The Doppler signals of 20 healthy subjects, ten AS and ten AI patients were acquired via the Doppler echocardiography system that is a noninvasive and reliable technique for assessment of AS and AI diseases. The correlation dimension estimations have been performed for different time delay values to investigate the influence of time delay on the correlation dimension calculation. The correlation dimension of healthy group has been found lower those found in AI and AS disorder groups and the correlation dimension of AS group has also been found higher than those found in AI group, significantly. The results of this study have indicated that the aortic valve Doppler signals exhibit high level chaotic behaviour in AI and AS diseases than healthy case. Additionally, the correlation dimension analysis is sensitive to the time delay and has successfully characterized the blood flow dynamics for proper time delay value. As a result, the correlation dimension can be used as an efficient method to determine the healthy or pathological cases of aortic valve.

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Year:  2009        PMID: 20703615     DOI: 10.1007/s10916-009-9308-3

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


  25 in total

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Journal:  J Am Coll Cardiol       Date:  2006-08-01       Impact factor: 24.094

5.  Detection of hemodynamic turbulence in experimental stenosis: an in vivo study in the rat carotid artery.

Authors:  Philippe May; Claudine Arrouvel; Marc Revol; Jean Marie Servant; Eric Vicaut
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Authors:  Necaattin Barşçi; Ergün Topal; Firat Hardalaç; Inan Güler
Journal:  J Med Syst       Date:  2005-04       Impact factor: 4.460

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Authors:  Ali Ozturk; Ahmet Arslan
Journal:  Comput Methods Programs Biomed       Date:  2007-03-26       Impact factor: 5.428

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Authors:  Inan Güler; Elif Derya Ubeyli
Journal:  Med Eng Phys       Date:  2004-11       Impact factor: 2.242

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Authors:  K D Barclay; G A Klassen; C Young
Journal:  Microcirculation       Date:  2000-10       Impact factor: 2.628

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