DocumentCode
1241465
Title
A model for surface EMG generation in volume conductors with spherical inhomogeneities
Author
Mesin, Luca ; Farina, Dario
Author_Institution
Laboratorio di Ingegneria del Sistema Neuromusculare, Politecnico di Torino, Italy
Volume
52
Issue
12
fYear
2005
Firstpage
1984
Lastpage
1993
Abstract
Most models for surface electromyography (EMG) signal generation are based on the assumption of space-invariance of the system in the direction of source propagation. This assumption implies the same shape of the potential distribution generated by a source in any location along the propagation direction. In practice, the surface EMG generation system is not space invariant and, therefore, the surface signal detected along the direction of the muscle fibers may significantly change shape along the propagation path. An important class of nonspace invariant systems is that of volume conductors inhomogeneous in the direction of source propagation. In this paper, we focused on inhomogeneities introduced by the presence of spheres of different conductivities with respect to the tissue where they are located. This effect may prove helpful to model the presence of glands, vessels, or local changes in the conductivity of a tissue. We present an approximate analytical solution that accounts for an arbitrary number of spheres in an arbitrary complex volume conductor. As a representative example, we propose the solution for a planar layered volume conductor, comprised of fat and muscle layers with spherical inhomogeneities inside the fat layer. The limitations of the approximations introduced are discussed. The model is computationally fast and constitutes an advanced means for the analysis and interpretation of surface EMG signal features.
Keywords
electromyography; physiological models; fat layer; glands; muscle fibers; nonspace invariant systems; planar layered volume conductor; source propagation; spherical inhomogeneities; surface EMG generation; surface electromyography; tissue conductivity; vessels; Computational modeling; Conductivity; Conductors; Electromyography; Glands; Muscles; Shape; Signal analysis; Signal detection; Signal generators; Electromyography; modeling; space invariance; tissue inhomogeneity; Action Potentials; Animals; Anisotropy; Computer Simulation; Diagnosis, Computer-Assisted; Electromagnetic Fields; Electromyography; Humans; Models, Neurological; Muscle Contraction; Muscle, Skeletal; Neural Conduction; Skin Physiology;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2005.857670
Filename
1542450
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