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

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Chaotic dynamics of the surface potential of human skeletal muscles determined in electromyography. / Bystrai, G. p.; Boginich, A. v.; Shklyar, T. f.
In: Biophysics, Vol. 52, No. 6, 01.12.2007, p. 616-624.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{f4bef8ad03924417be6cfa6a82e73135,

title = "Chaotic dynamics of the surface potential of human skeletal muscles determined in electromyography",

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.",

author = "Bystrai, {G. p.} and Boginich, {A. v.} and Shklyar, {T. f.}",

year = "2007",

month = dec,

day = "1",

doi = "10.1134/S0006350907060140",

language = "English",

volume = "52",

pages = "616--624",

journal = "Biophysics",

issn = "0006-3509",

publisher = "Pleiades Publishing",

number = "6",

}

RIS

TY - JOUR

T1 - Chaotic dynamics of the surface potential of human skeletal muscles determined in electromyography

AU - Bystrai, G. p.

AU - Boginich, A. v.

AU - Shklyar, T. f.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=44649171742

U2 - 10.1134/S0006350907060140

DO - 10.1134/S0006350907060140

M3 - Article

VL - 52

SP - 616

EP - 624

JO - Biophysics

JF - Biophysics

SN - 0006-3509

IS - 6

ER -

ID: 42248463