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.
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Çelebi, G., Uzun, İ.S., Pehlivan, M., Asyali, M.H., Türkoğlu, A., Soydan, İ. (2001). Nonlinear Analysis of Heart Rate Variability. In: Abdullaev, F., Bang, O., Sørensen, M.P. (eds) Nonlinearity and Disorder: Theory and Applications. NATO Science Series, vol 45. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0542-5_32
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DOI: https://doi.org/10.1007/978-94-010-0542-5_32
Publisher Name: Springer, Dordrecht
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