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Age-related alterations of relaxation processes and non-Markov effects in stochastic dynamics of R–R intervals variability from human ECGs

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  • Yulmetyev, Renat M.
  • Demin, Sergey A.
  • Panischev, Oleg Yu.
  • Hänggi, Peter

Abstract

In this paper, we consider the age-related alterations of heart rate variability on the basis of the study of non-Markovian effects. The age dynamics of relaxation processes is quantitatively described by means of local relaxation parameters, calculated by the specific localization procedure. We offer a quantitative informational measure of non-Markovity to evaluate the change of statistical effects of memory. Local relaxation parameters for young and elderly people differ by 3.3 times, and quantitative measures of non-Markovity differ by 4.2 times. The comparison of quantitative parameters allows to draw conclusions about the reduction of relaxation rate with ageing and the higher degree of the Markovity of heart rate variability of elderly people.

Suggested Citation

  • Yulmetyev, Renat M. & Demin, Sergey A. & Panischev, Oleg Yu. & Hänggi, Peter, 2005. "Age-related alterations of relaxation processes and non-Markov effects in stochastic dynamics of R–R intervals variability from human ECGs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 336-352.
  • Handle: RePEc:eee:phsmap:v:353:y:2005:i:c:p:336-352
    DOI: 10.1016/j.physa.2005.01.042
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    References listed on IDEAS

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    1. Yulmetyev, Renat & Demin, Sergey & Emelyanova, Natalya & Gafarov, Fail & Hänggi, Peter, 2003. "Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 319(C), pages 432-446.
    2. Stanley, H.E. & Amaral, L.A.N. & Goldberger, A.L. & Havlin, S. & Ivanov, P.Ch. & Peng, C.-K., 1999. "Statistical physics and physiology: Monofractal and multifractal approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 270(1), pages 309-324.
    3. Yulmetyev, Renat M. & Emelyanova, Natalya A. & Demin, Sergey A. & Gafarov, Fail M. & Hänggi, Peter & Yulmetyeva, Dinara G., 2004. "Non-Markov stochastic dynamics of real epidemic process of respiratory infections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 331(1), pages 300-318.
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