Literature DB >> 1453802

Potential distribution and single-fibre action potentials in a radially bounded muscle model.

B K van Veen1, N J Rijkhoff, W L Rutten, W Wallinga, H B Boom.   

Abstract

In modelling the electrical behaviour of muscle tissue, we used to employ a frequency-dependent volume conductor network model, which was infinitely extended in all directions. Equations in this model could be solved using a finite-difference approach. The most important restriction of this model was the fact that no boundary effects could be incorporated. Analytical models of muscle tissue normally do not have this disadvantage, but in those models the microscopic structure of muscle tissue cannot be taken into account. In the paper, we present a combined numerical/analytical approach, which enables the study of potential distributions and SFAPs in simulated microscopic muscle tissue in which the influence of the muscle boundary has been considered. We considered muscle models with radii of 1.5 mm and 10 mm. Both models were compared with an unbounded network model. In the model with a radius of 1.5 mm we varied the position of the active fibre relative to the muscle surface. It appeared that in most cases the presence of a boundary had a considerable effect on the potential distribution. An increase in the peak-to-peak value of the SFAP amplitude up to 300 per cent was noticed when the active fibre was positioned 500 microns beneath the muscle surface in a model with a radius of 1.5 mm.

Mesh:

Year:  1992        PMID: 1453802     DOI: 10.1007/bf02446968

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  16 in total

1.  Influence of a frequency-dependent medium around a network model, used for the simulation of single-fibre action potentials.

Authors:  B K van Veen; W L Rutten; W Wallinga
Journal:  Med Biol Eng Comput       Date:  1990-09       Impact factor: 2.602

2.  Interpretation of skeletal muscle four-electrode impedance measurements using spatial and temporal frequency-dependent conductivities.

Authors:  B J Roth
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

3.  The different intracellular action potentials of fast and slow muscle fibres.

Authors:  W Wallinga-De Jonge; F L Gielen; P Wirtz; P De Jong; J Broenink
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1985-06

4.  Quantitative analysis of single muscle fibre action potentials recorded at known distances.

Authors:  B A Albers; J H Put; W Wallinga; P Wirtz
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-09

5.  Sensitivity of the amplitude of the single muscle fibre action potential to microscopic volume conduction parameters.

Authors:  B A Albers; W L Rutten; W Wallinga-de Jonge; H B Boom
Journal:  Med Biol Eng Comput       Date:  1988-11       Impact factor: 2.602

6.  A model study on the influence of structure and membrane capacitance on volume conduction in skeletal muscle tissue.

Authors:  B A Albers; W L Rutten; W Wallinga-de Jonge; H B Boom
Journal:  IEEE Trans Biomed Eng       Date:  1986-07       Impact factor: 4.538

7.  The active fiber in a volume conductor.

Authors:  R Plonsey
Journal:  IEEE Trans Biomed Eng       Date:  1974-09       Impact factor: 4.538

8.  Intra- and extracellular potential fields of active nerve and muscle fibres. A physico-mathematical analysis of different models.

Authors:  P Rosenfalck
Journal:  Acta Physiol Scand Suppl       Date:  1969

9.  Model of electrical conductivity of skeletal muscle based on tissue structure.

Authors:  F L Gielen; H E Cruts; B A Albers; K L Boon; W Wallinga-de Jonge; H B Boom
Journal:  Med Biol Eng Comput       Date:  1986-01       Impact factor: 2.602

10.  Anisotropy in the dielectric properties of skeletal muscle.

Authors:  B R Epstein; K R Foster
Journal:  Med Biol Eng Comput       Date:  1983-01       Impact factor: 2.602

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  5 in total

1.  Depth and intensity of equivalent current dipoles estimated through an inverse analysis of surface electromyograms using the image method.

Authors:  K Saitou; T Masuda; M Okada
Journal:  Med Biol Eng Comput       Date:  1999-11       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.  The theory of velocity selective neural recording: a study based on simulation.

Authors:  John Taylor; Martin Schuettler; Chris Clarke; Nick Donaldson
Journal:  Med Biol Eng Comput       Date:  2012-02-24       Impact factor: 2.602

4.  Influence of inhomogeneities in muscle tissue on single-fibre action potentials: a model study.

Authors:  W L Rutten; B K van Veen; S H Stroeve; H B Boom; W Wallinga
Journal:  Med Biol Eng Comput       Date:  1997-03       Impact factor: 2.602

5.  The bioelectrical source in computing single muscle fiber action potentials.

Authors:  B K van Veen; H Wolters; W Wallinga; W L Rutten; H B Boom
Journal:  Biophys J       Date:  1993-05       Impact factor: 4.033

  5 in total

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