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Chaotic dynamics of the surface potential of human skeletal muscles determined in electromyography

  • Complex Systems Biophysics
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Abstract

A new method for differential evaluation of electromyographic data on straited muscles of human lower extremities was developed. This method is based on nonlinear dynamics and thermodynamics and can be used for identification of pathologies. The distance between two trajectories of the potential of two symmetric muscles was the main measured characteristic of coordinated muscle work. These data were used to determine the Lyapunov exponent and the time of forgetting initial conditions, which reflect the generally chaotic dynamics of muscle activity. Application of the theory of deterministic chaos to analysis of electromyographic patterns can improve the diagnosis of peripheral nervous system diseases and the efficacy of treatment control. Quantitation of nonlinear dynamic parameters of muscle activity, clear data representation, high prognostic information content of the Lyapunov exponent and Kolmogorov entropy are among the advantages of the new method.

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References

  1. D. I. Trubetskov, Introduction to Synergetics. Chaos and Structures (Editorial URSS, Moscow, 2004) [in Russian].

    Google Scholar 

  2. P. S. Laida and M. G. Rosenblyum, Priroda, No. 8, 18 (1992).

  3. L. P. Nikolaev, Handbook on Biomechanics Applied to Orthopedics, Traumatology, and Prosthetics (Kiev, 1950), Part 2 [in Russian].

  4. B. M. Gekht, Theoretical and Clinical Electromyography (Leningrad, 1990) [in Russian].

  5. L. A. Vodolazsky, Foundations of the Technology of Clinical Electrography (Moscow, 1986) [in Russian].

  6. G. G. Shuster, Deterministic Chaos (Mir, Moscow, 1988) [in Russian].

    MATH  Google Scholar 

  7. A. Lichtenberg and M. Liberman, Regular and Stochastic Dynamics (Springer, Berlin, 1984; Mir, Moscow, 1984) [in Russian].

    Google Scholar 

  8. V. A. Mashin, Biofizika 51(3), 524 (2006).

    Google Scholar 

  9. F. Moon, Chaotic Vibrations: An Introduction for Applied Scientists and Engineers (Wiley, New York, 1987; Mir, Moscow, 1990) [in Russian].

    MATH  Google Scholar 

  10. G. P. Bystrai, A. S. Vorokh, and S. V. Andreev, Biofizika 50(5), 851 (2005).

    Google Scholar 

  11. P. Bergй, Y. Pomeau, and Ch. Vidal, Order in Chaos (Hermann, Paris, 1984; Mir, Moscow, 1991) [in Russian].

    Google Scholar 

  12. G. M. Zaslavsky, Stochasticity of Dynamic System (Nauka, Moscow, 1984) [in Russian].

    Google Scholar 

  13. G. P. Bystrai, TVT 42(1), 81 (2004).

    Google Scholar 

  14. D. A. Winter and S. H. Scott, J. Electromyogr. Kinesiol. 1(4), 263 (1991).

    Article  Google Scholar 

  15. A. S. Vitenzon and K. A. Pentushanskaya, Biomekhanika, No. 2 (2002).

  16. H. Haken, Advanced Synergetics. Instabilities of Self-Organizing Systems and Devices (Springer-Verlag, Berlin-Heidelberg-New York-Tokyo, 1983; Mir, Moscow, 1989).

    Google Scholar 

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Original Russian Text © G.P. Bystrai, A.V. Boginich, T.F. Shklyar, 2007, published in Biofizika, 2007, Vol. 52, No. 6, pp. 1093–1103.

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Bystrai, G.P., Boginich, A.V. & Shklyar, T.F. Chaotic dynamics of the surface potential of human skeletal muscles determined in electromyography. BIOPHYSICS 52, 616–624 (2007). https://doi.org/10.1134/S0006350907060140

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  • DOI: https://doi.org/10.1134/S0006350907060140

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