Nonlinear analysis of heart rate variability

Author

Uzun, I. Servan ; Asyali, Musa H. ; Celeb, Gurbuz ; Pehlivan, Murat

Author_Institution

Fac. of Eng., Ege Univ., Izmir, Turkey

Volume

2

fYear

2001

fDate

2001

Firstpage

1581

Abstract

This article reports nonlinear analysis of ECG R-R interval time-series obtained from healthy individuals and some cardiac patients. The R-R interval time-series data from 6 healthy individuals and 3 cardiac patients were transformed into multidimensional phase-space vectors by time-delay embedding. The largest Lyapunov exponent and correlation dimension (CD) were calculated. Nonlinearity was tested by comparing the CDs obtained from the original data with those obtained from surrogate data sets. Results are discussed with reference to results obtained in previous studies.

Keywords

Lyapunov methods; chaos; correlation theory; electrocardiography; medical signal processing; nonlinear dynamical systems; phase space methods; time series; ECG R-R interval time-series; Lyapunov exponent; attractors; cardiac patients; chaotic dynamical properties; correlation dimension; deterministic system complexity; heart rate variability; multidimensional phase-space vectors; nonlinear analysis; nonlinear dynamic systems; spontaneous variability; surrogate data analysis; time-delay embedding; Biomedical engineering; Biophysics; Blood; Chaos; Delay effects; Extraterrestrial measurements; Heart rate; Heart rate variability; Nonlinear dynamical systems; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020513

Filename

1020513