title: Correlation dimension analysis of Doppler signals in children with aortic valve disorders.
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.
authors: Department of Biomedical Equipment Technology, Vocational School of Technology, Başkent University, 06530 Ankara, Turkey. derya@baskent.edu.tr
authors: Derya
authors: D
authors: Yılmaz
authors: N Fatma
authors: NF
authors: Güler
mesh_terms: D000293:Adolescent; D001022:Aortic Valve Insufficiency / Q000000981:diagnostic imaging*; D001024:Aortic Valve Stenosis / Q000000981:diagnostic imaging*; D016022:Case-Control Studies; D002648:Child; D002675:Child, Preschool; D015150:Echocardiography, Doppler; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D013997:Time Factors