Nonlinear analysis of heart rate variability

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....

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Bibliographic Details
Main Authors: Uzun, I.S., Asyali, M.H., Celebi, G., Pehlivan, M.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical engineering
Biophysics
Blood
Chaos
Delay effects
Extraterrestrial measurements
Heart rate
Heart rate variability
Nonlinear dynamical systems
State-space methods
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Summary: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.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2001.1020513