Analytical Generation Model Of Surface
Electromyogram For Multi-layer
Volume Conductors
Author(s)
L. Mesin
Abstract
Surface electromyogram (EMG) is a bio-electrical signal detected non-invasively
(over the skin) and reflecting features of the bio-electrical sources associated to
muscle contraction. Surface EMG signal modelling has important applications in
the interpretation of experimental EMG data, for a deeper understanding of the
physiological mechanisms of muscle contraction. This study addresses the issue
of introducing a general analytical method to study multi layer volume
conductors (i.e., to solve a Poisson problem on domains constituted by multiple
layered sub-domains, with different electrical conductivities). The method
provides the solution to a multi plane layer problem, once the solutions of the
homogeneous Dirichlet and Neumann problems in a one layer volume conductor
are available. The same method can be applied to cylindrical layer volume
conductors (some indications are given). It is applied to add a fat layer over a bipinnate
muscle layer (i.e., a muscle which has two groups of fibres with two
orientations) which was analytically studied in the literature (considering only
the muscle layer). The study provides an implementation of the results in a
complete surface EMG generation model (including finite length fibres), and
shows representative results of the application of the model proposed.
Poisson equation models different physical and biological situations. Thus,
the method introduced can find applications in other fields of interest for the
applied sciences.
Keywords: Poisson equation, multi layer volume conductor, Fourier transform,
surface electromyogram.
Keywords
Poisson equation, multi layer volume conductor, Fourier transform,
surface electromyogram.
Related Book
Other papers in this volume
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