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Chaos / Volume 5 / Issue 1

Chaos 5, 88 (1995); http://dx.doi.org/10.1063/1.166090 (7 pages)

Quantitative analysis of heart rate variability

J. Kurths1, A. Voss2, P. Saparin3, A. Witt1, H. J. Kleiner2, and N. Wessel2

1Arbeitsgruppe Nichtlineare Dynamik der Max‐Planck‐Gesellschaft an der Universität Potsdam, Pf. 601553, D‐14415 Potsdam, Germany
2MDC, Franz‐Volhard‐Klinik, Wiltbergstrasse 50, D‐13125 Buch, Germany
3Saratov State University, Astrakhanskaja U1. 40, Russia

(Received 19 May 1994; accepted 8 August 1994)

In the modern industrialized countries every year several hundred thousands of people die due to sudden cardiac death. The individual risk for this sudden cardiac death cannot be defined precisely by common available, noninvasive diagnostic tools like Holter monitoring, highly amplified ECG and traditional linear analysis of heart rate variability (HRV). Therefore, we apply some rather unconventional methods of nonlinear dynamics to analyze the HRV. Especially, some complexity measures that are based on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abnormalities in the HRV of several patients who have been classified in the low risk group by traditional methods. A combination of these complexity measures with the parameters in the frequency domain seems to be a promising way to get a more precise definition of the individual risk. These findings have to be validated by a representative number of patients. © 1995 American Institute of Physics.

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KEYWORDS and PACS

Keywords

HEART, DISEASES, DIAGNOSTIC TECHNIQUES, DYNAMICAL SYSTEMS, ENTROPY, FREQUENCY DOMAIN ANALYSIS, MEDICINE, NERVE CELLS, AUTONOMIC NERVOUS SYSTEM, ELECTROENCEPHALOGRAPHY

PACS

  • 87.19.-j

    Properties of higher organisms

  • 05.45.-a

    Nonlinear dynamics and chaos

  • 87.10.-e

    General theory and mathematical aspects

ARTICLE DATA

Digital Object Identifier
http://dx.doi.org/10.1063/1.166090

PUBLICATION DATA

ISSN

1054-1500 (print)  
1089-7682 (online)

For access to fully linked references, you need to log in.
    J. P. Eckmann and D. Ruelle, “Ergodic theory of chaos and strange at- tractors,” Rev. Mod. Phys. 57, 617 (1985).

    S. Pincus, “Approximate entropy (ApEn) as a complexity measure,” Chaos 5, 110–117 (1995CHAOEH000005000001000110000001).

    C.-K. Peng, J. Mietus, J. M. Hausdorff, S. Havlin, H. E. Stanley, and A. L. Goldberger, “Long-range correlations and non-Gaussian behaviour of the heartbeat,” Phys. Rev. Lett. 70, 1343–1346 (1993).


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