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The nonlinear parameters of an interference electromyogram in two-day-old human newborns

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Abstract

The temporal structure of an interference electromyogram (iEMG) was studied in healthy one- and two-day-old human newborns (n = 76) using nonlinear parameters (correlation and fractal dimension, correlation entropy). It was found that the nonlinear parameters of iEMG were time-dependent because they decreased during the first two days of life. These parameters were also sensitive to the muscle function, because the correlation dimension, fractal dimension, and correlation entropy of iEMG of the gastrocnemius muscle differed from the same parameters of other muscles. Some nonlinear parameters were found to be independent of the iEMG amplitude. This model of early ontogenesis is expected to be useful for studying antigravitational activity.

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References

  1. Meigal, A.Yu., Voroshilov, A.S., The Perinatal Model of a Man Transition from Microgravity to the Conditions of Earth’s Gravitation on the Basis of Nonlinear Parameters of Electromyography, Kosm. Biol. Aviakosm. Med., 2009, vol. 43, no. 6, p. 14.

    Google Scholar 

  2. Farina, D., Merletti, R., and Enoka, R. M., The Extraction of Neural Strategies from the Surface EMG, J. Appl. Physiol., 2004, vol. 96, no. 4, p. 1486.

    Article  PubMed  Google Scholar 

  3. Liu, Y., Kankaanpää, M., Zbilut, J.P., and Webber, C.L., Jr., EMG Recurrence Quantifications in Dynamic Exercise, Biol. Cybern., 2004, vol. 90, p. 337.

    Article  PubMed  Google Scholar 

  4. Meigal, A., Rissanen, S., Kankaanpää, M., et. al., Novel Parameters of Surface EMG in Patients with Parkinson’s Disease and Healthy Young and Old Controls, J. Electromyogr. Kinesiol, 2009, vol. 19, no. 3, p. 206.

    Article  Google Scholar 

  5. Rissanen, S., Kankaanpää, M., Meigal, et. al., Surface EMG and Acceleration Signals in Parkinson’s Disease: Feature Extraction and Cluster Analysis, Med. Biol. Eng. Comp., 2008, vol. 46, p. 849.

    Article  Google Scholar 

  6. Nieminen H, Takala E.P., Evidence of Deterministic Chaos in the Myoelectric Signal, Electromyogr. Clin. Neurophysiol., 1996. vol. 36, p. 49.

    PubMed  CAS  Google Scholar 

  7. Shabalov, N.P., Neonatologiya, (Neonatology), Moscow: Medpress, 2006.

    Google Scholar 

  8. Il’yashenko, Yu.S., Attraktory i ikh fraktal’naya razmernost’, (Attractors and Their Fractal Dimension), Moscow: MTsNMO, 2005.

    Google Scholar 

  9. Musalimov, V.M., Reznikov, S.S., and Chan Ngok Chau, Spetsial’nye razdely vysshei matematiki (Special Chapters of Higher Mathematics), St. Petersburg: S.-Peterb. Gos. Univ. ITMO, 2006.

    Google Scholar 

  10. Schuster, H., Deterministic Chaos: An Introduction, Weinheim: Physik, 1984.

    Google Scholar 

  11. J. Feder, Fractals, New York: Plenum, 1988.

    Google Scholar 

  12. Opritov, V.A., Entropiya biosistem, (Biosystem Entropy), Soros. Obraz. Zh., 1999, vol. 6, p. 33.

    Google Scholar 

  13. Zaripova, Yu.R., Meigal, A.Yu., and Sokolov, A.L., Cutaneous Electromyography as a Method of Diagnosing the Lokomotor Disorders in Children, Med. Akad. Zh., 2005, no. 2, suppl. 6, p. 147.

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Original Russian Text © A.S. Voroshilov, A.Yu. Meigal, 2011, published in Fiziologiya Cheloveka, 2011, Vol. 37, No. 3, pp. 19–26.

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Voroshilov, A.S., Meigal, A.Y. The nonlinear parameters of an interference electromyogram in two-day-old human newborns. Hum Physiol 37, 283–290 (2011). https://doi.org/10.1134/S0362119711020216

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  • DOI: https://doi.org/10.1134/S0362119711020216

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