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Experimental Study of Statistical Stability of Cardiointerval Samples

  • PHYSIOLOGY
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Bulletin of Experimental Biology and Medicine Aims and scope

In 1947 M. A. Bernstein proposed a hypothesis about “repetition without repetition” in biomechanics that was confirmed in psychophysiology by the Eskov—Zinchenko effect. This effect can be applied to all parameters (except the parameters of the neuromuscular system) of human body homeostasis. For instance, this instability can be demonstrated for repeated samples of cardiointerval parameters (and other homeostasis parameters) of the human cardiorespiratory system. Within the framework of the new theory of chaos and self-organization, a method is proposed for calculation of matrices of paired comparisons of cardiointerval samples for assessing the physiological status of the human body and changes in homeostasis. Statistical instability of cardiointerval samples and their statistical distribution functions f(x) for successive cardiointerval samples in one subject is proven.

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References

  1. Bernstein NA. On structure of movements. Moscow, 1947. Russian.

  2. Betelin VB, Galkin VA, Gavrilenko TV, Eskov VM. Stochastic volatility in the dynamics of complex homeostatic systems. Dokl. Mathematics. 2017;95(1):92-94.

    Article  Google Scholar 

  3. Veraksa AN, Filatova DY, Poskina TY, Klus LG. Thermodynamics of the Eskov-Zinchenko effect at stationary state of complex biomedical systems. Vest. Novukh Med. Tekhnol. 2016;23(2):18-25. Russian.

    Google Scholar 

  4. Eskov VM, Eskov VV, Gavrilenko TV, Vochmina YuV. Formalization of the Effect of “Repetition without Repetition” by N.A. Bernstein. Biofizika. 2017;62(1):168-176. Russian.

    Google Scholar 

  5. Eskov VM, Zinchenko YP, Filatov MA, Eskov VV. Eskov-Zinchenko effect refutes the views of I.R. Prigogine, J.A. Wheeler and M. Gell-Mann about deterministic chaos of biological systems - complexity. Vestn. Novukh Med. Tekhnol. 2016;23(2):34-43. Russian.

    Google Scholar 

  6. Eskov VM, Zinchenko YP, Khadartsev AA, Filatova OE. Principles of physical (biophysical) understanding of life. Slozhnost’. Razum. Postneklassika. 2016;(2):58-65. Russian.

    Google Scholar 

  7. Zilov VG, Eskov VM, Khadartsev AA, Eskov VV. Experimental Verification of the Bernstein Effect “Repetition without Repetition”. Bull. Exp. Biol. Med. 2017;163(1):1-5.

    Article  CAS  PubMed  Google Scholar 

  8. Filatova OE, Zinchenko UP, Eskov VV, Streltsova .V. Conscious and unconscious parts in movement organization. Slozhnost’. Razum. Postneklassika. 2016;(3):23-30.

  9. Eskov VM. Evolution of the emergent properties of three types of societies: The basic law of human development. Emergence: Complexity and Organization. 2014;16(2):107-115.

    Google Scholar 

  10. Eskov VM, Eskov VV, Braginskii MYa, Pashnin AS. Determination of the degree of synergism of the human cardiorespiratory system under conditions of physical effort. Measurement Techniques. 2007;54(7):832-837.

  11. Eskov VM, Eskov VV, Gavrilenko TV, Vochmina JV. Biosystem kinematics as evolution: Stationary modes and movement speed of complex systems: Complexity. Moscow Univ. Physics Bull. 2015;70(2):140-152.

    Article  Google Scholar 

  12. Eskov VM, Eskov VV, Gavrilenko TV, Zimin MI. Uncertainty in the quantum mechanics and biophysics of complex systems. Moscow Univ. Physics Bull. 2014;69(5):406-411.

    Article  Google Scholar 

  13. Eskov VM, Eskov VV, Vochmina JV, Gavrilenko TV. The evolution of the chaotic dynamics of collective modes as a method for the behavioral description of living systems. Moscow Univ. Physics Bull. 2016;71(2):143-154.

    Article  Google Scholar 

  14. Eskov VM, Gavrilenko TV, Kozlova VV, Filatov MA. Measurement of the dynamic parameters of microchaos in the behavior of living biosystems. Measurement Techniques. 2012;55(9):1096-1101.

    Article  Google Scholar 

  15. Es’kov VM, Kulaev SV, Popov YuM, Filatova OE. Computer technologies in stability measurements on stationary states in dynamic biological systems. Measurement Techniques. 2006;49(1):59-65.

    Article  Google Scholar 

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Authors and Affiliations

  1. Medical Institute, Tula State University, Tula, Russia

    V. G. Zilov, A. A. Khadartsev, V. V. Eskov & V. M. Eskov

Authors
  1. V. G. Zilov
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  2. A. A. Khadartsev
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  3. V. V. Eskov
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  4. V. M. Eskov
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Corresponding author

Correspondence to A. A. Khadartsev.

Additional information

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 164, No. 8, pp. 136-139, August, 2017

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Zilov, V.G., Khadartsev, A.A., Eskov, V.V. et al. Experimental Study of Statistical Stability of Cardiointerval Samples. Bull Exp Biol Med 164, 115–117 (2017). https://doi.org/10.1007/s10517-017-3937-1

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  • DOI: https://doi.org/10.1007/s10517-017-3937-1

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