Nonlinear dynamic analysis of mitral valve doppler signals: surrogate data analysis

Authors : Esma UZUNHİSARCIKLI

Pages : 327-337

View : 18 | Download : 11

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :In our study, the nonlinear dynamics of mitral valve Doppler signals from 32 healthy and 28 patients with mitral valve stenosis was evaluated using by the computation of Lyapunov exponents, correlation dimension values and surrogate data analysis. Two chaotic features are compared for healthy and patient subjects. It was found that the largest Lyapunov exponent and correlation dimension values derived from patient subjects were larger than that of healthy subjects insert ignore into journalissuearticles values(r < 0.005);. Surrogate data analysis was performed to determine the chaotic dynamics of Doppler signals. It was observed that the original and surrogate data have similar spectral features. Receiver operating characteristic insert ignore into journalissuearticles values(ROC); curves were used to evaluate the nonlinearity character Area Under the curve insert ignore into journalissuearticles values(AUC); values were obtained as 0.99 and 0.978 for the largest Lyapunov exponent and correlation dimension values, respectively. According to these results, Doppler signals have a nonlinear dynamic property and the largest Lyapunov exponent. Correlation dimension features can be used to detect the change in blood flow velocity of patients with mitral valve stenosis.
Keywords : Doppler, mitral valve, largest lyapunov exponent, correlation dimension, surrogate data, ROC