Literature DB >> 16686399

An analytical model for surface EMG generation in volume conductors with smooth conductivity variations.

Luca Mesin1, Dario Farina.   

Abstract

A nonspace invariant model of volume conductor for surface electromyography (EMG) signal generation is analytically investigated. The volume conductor comprises planar layers representing the muscle and subcutaneous tissues. The muscle tissue is homogeneous and anisotropic while the subcutaneous layer is inhomogeneous and isotropic. The inhomogeneity is modeled as a smooth variation in conductivity along the muscle fiber direction. This may reflect a practical situation of tissues with different conductivity properties in different locations or of transitions between tissues with different properties. The problem is studied with the regular perturbation theory, through a series expansion of the electric potential. This leads to a set of Poisson's problems, for which the source term in an equation and the boundary conditions are determined by the solution of the previous equations. This set of problems can be solved iteratively. The solution is obtained in the two-dimensional Fourier domain, with spatial angular frequencies corresponding to the longitudinal and perpendicular direction with respect to the muscle fibers, in planes parallel to the detection surface. The series expansion is truncated for the practical implementation. Representative simulations are presented. The proposed model constitutes a new approach for surface EMG signal simulation with applications related to the validation of methods for information extraction from this signal.

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Year:  2006        PMID: 16686399     DOI: 10.1109/TBME.2006.872825

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  The formation of extracellular potentials over the innervation zone: Are these potentials affected by changes in fibre membrane properties?

Authors:  Javier Rodriguez-Falces
Journal:  Med Biol Eng Comput       Date:  2016-04-05       Impact factor: 2.602

2.  Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems.

Authors:  Chris P Bradley; Nehzat Emamy; Thomas Ertl; Dominik Göddeke; Andreas Hessenthaler; Thomas Klotz; Aaron Krämer; Michael Krone; Benjamin Maier; Miriam Mehl; Tobias Rau; Oliver Röhrle
Journal:  Front Physiol       Date:  2018-07-12       Impact factor: 4.566

  2 in total

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