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Nonlinear parameters of surface electromyogram for diagnostics of neuromuscular disorders and normal conditions of the human motor system

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Abstract

The review describes the applications of novel parameters of surface electromyogram based on the nonlinear dynamics of complex systems. Special emphasis is made on their applications to early and differential diagnosis of Parkinson’s disease, various kinds of tremor, schizophrenia, as well as aging, development, and fatigue.

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Authors and Affiliations

  1. Petrozavodsk State University, Petrozavodsk, Republic of Karelia, 185910, Russia

    A. Yu. Meigal & Yu. R. Zaripova

  2. University of Eastern Finland, Kuopio Campus, Yliopistonranta 1, P.O. Box 1627, Kuopio, Finland

    A. Yu. Meigal, S. M. Rissanen, G. G. Miroshnichenko & P. Karjalainen

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  1. A. Yu. Meigal
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  2. S. M. Rissanen
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  3. Yu. R. Zaripova
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  4. G. G. Miroshnichenko
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  5. P. Karjalainen
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Correspondence to A. Yu. Meigal.

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Original Russian Text © A.Yu. Meigal, S.M. Rissanen, Yu.R. Zaripova, G.G. Miroshnichenko, P. Karjalainen, 2015, published in Fiziologiya Cheloveka, 2015, Vol. 41, No. 6, pp. 119–127.

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Meigal, A.Y., Rissanen, S.M., Zaripova, Y.R. et al. Nonlinear parameters of surface electromyogram for diagnostics of neuromuscular disorders and normal conditions of the human motor system. Hum Physiol 41, 672–679 (2015). https://doi.org/10.1134/S0362119715050102

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