Literature DB >> 12086007

Three-layer volume conductor model and software package for applications in surface electromyography.

J H Blok1, D F Stegeman, A van Oosterom.   

Abstract

On comparing multichannel surface electromyographic measurements of the m. biceps brachii with simulations performed with a previously developed two-layer volume conduction model, we found substantial discrepancies. To incorporate an apparent distorting effect of the skin tissue, the model was extended to three layers. This new model describes the potential resulting from an eccentric bioelectric source in a finite, cylindrical, and anisotropic volume conductor consisting of three layers, representing muscle, subcutaneous fat, and skin tissue. This contribution presents the governing mathematical equations of the three-layer volume conductor model as well as our approach to their solution. A comparison of various models shows that the three-layer model best describes measured potential distributions. Furthermore, we present the "ANVOLCON" (analytical volume conductor) software package. This package has been developed to facilitate the use of the model for scientific and educational purposes and is freely available from http://www.mbfys.kun.nl/knf

Mesh:

Year:  2002        PMID: 12086007     DOI: 10.1114/1.1475345

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  12 in total

1.  Advances in surface electromyographic signal simulation with analytical and numerical descriptions of the volume conductor.

Authors:  D Farina; L Mesin; S Martina
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model.

Authors:  D Farina; L Mesin; S Martina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

3.  Influence of motor unit properties on the size of the simulated evoked surface EMG potential.

Authors:  Kevin G Keenan; Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

4.  Muscle fibre recruitment can respond to the mechanics of the muscle contraction.

Authors:  James M Wakeling; Katrin Uehli; Antra I Rozitis
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

5.  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

Review 6.  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

7.  Speedup computation of HD-sEMG signals using a motor unit-specific electrical source model.

Authors:  Vincent Carriou; Sofiane Boudaoud; Jeremy Laforet
Journal:  Med Biol Eng Comput       Date:  2018-01-23       Impact factor: 2.602

8.  Nonhomogeneous volume conduction effects affecting needle electromyography: an analytical and simulation study.

Authors:  Xuesong Luo; Shaoping Wang; Seward B Rutkove; Benjamin Sanchez
Journal:  Physiol Meas       Date:  2021-12-28       Impact factor: 2.833

9.  Towards identification of finger flexions using single channel surface electromyography--able bodied and amputee subjects.

Authors:  Dinesh Kant Kumar; Sridhar Poosapadi Arjunan; Vijay Pal Singh
Journal:  J Neuroeng Rehabil       Date:  2013-06-07       Impact factor: 4.262

10.  A Finite Element Model Approach to Determine the Influence of Electrode Design and Muscle Architecture on Myoelectric Signal Properties.

Authors:  A Teklemariam; E F Hodson-Tole; N D Reeves; N P Costen; G Cooper
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240

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