Literature DB >> 10624744

Compensation of the effect of sub-cutaneous tissue layers on surface EMG: a simulation study.

D Farina1, A Rainoldi.   

Abstract

A mathematical model of a four-layer medium (muscle+fat+skin+air) is investigated. The system is studied in cartesian coordinates with the hypotheses of muscle anisotropy and isotropy of the fat and skin layers, assuming the fat to be less conductive than the skin. Determination of the potential distribution over the skin, due to sources in the muscle, is based on the solution of the Poisson equation in the spatial frequency domain in the different media. The arbitrary constants are determined imposing the boundary conditions. In this way the transfer function of the fat and skin layers is found and can be used to compute the potential distribution of the muscle-fat interface. The physiological parameters were obtained from literature. The results of simulation studies are proposed; it is clear that the subcutaneous tissue layers produce an attenuation and widening of the potential distribution present at the muscle surface. These effects can be partially compensated using high-pass spatial filters as proposed in the literature. A new class of bidimensional spatial filters is proposed; the filters are defined on the basis of the information about the isotropic layers rather than being general filters. An approximation of the ideal inverse transfer function of the sub-cutaneous layers is proposed as a discrete spatial filter that can be implemented with matrices with a small number of electrodes (maximum of 25 electrodes) and practicable interelectrode distance. A simulated evaluation of the new filter and the limitations of the approach are presented.

Mesh:

Year:  1999        PMID: 10624744     DOI: 10.1016/s1350-4533(99)00075-2

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  17 in total

1.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: spatial selectivity.

Authors:  D Farina; E Schulte; R Merletti; G Rau; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

Review 2.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials.

Authors:  Jin Lee; Alexander Adam; Carlo J De Luca
Journal:  J Neurosci Methods       Date:  2007-09-18       Impact factor: 2.390

4.  Equalization filters for multiple-channel electromyogram arrays.

Authors:  Edward A Clancy; Hongfang Xia; Anita Christie; Gary Kamen
Journal:  J Neurosci Methods       Date:  2007-05-29       Impact factor: 2.390

5.  Surface EMG signal alterations in Carpal Tunnel syndrome: a pilot study.

Authors:  A Rainoldi; M Gazzoni; R Casale
Journal:  Eur J Appl Physiol       Date:  2008-02-21       Impact factor: 3.078

6.  Relationships between surface EMG variables and motor unit firing rates.

Authors:  Anita Christie; J Greig Inglis; Gary Kamen; David A Gabriel
Journal:  Eur J Appl Physiol       Date:  2009-06-21       Impact factor: 3.078

7.  Electrical and mechanical response of finger flexor muscles during voluntary isometric contractions in elite rock-climbers.

Authors:  Fabio Esposito; Eloisa Limonta; Emiliano Cè; Massimiliano Gobbo; Arsenio Veicsteinas; Claudio Orizio
Journal:  Eur J Appl Physiol       Date:  2008-10-01       Impact factor: 3.078

8.  Effects of altered muscle temperature on neuromuscular properties in young and older women.

Authors:  Susan Dewhurst; Andrea Macaluso; Leonardo Gizzi; Francesco Felici; Dario Farina; Giuseppe De Vito
Journal:  Eur J Appl Physiol       Date:  2009-10-15       Impact factor: 3.078

Review 9.  The extraction of neural strategies from the surface EMG: an update.

Authors:  Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2014-10-02

Review 10.  Determinants, analysis and interpretation of the muscle compound action potential (M wave) in humans: implications for the study of muscle fatigue.

Authors:  Javier Rodriguez-Falces; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2017-12-28       Impact factor: 3.078

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