Literature DB >> 11369265

Volume conduction models for surface EMG; confrontation with measurements.

K Roeleveld1, J H. Blok, D F. Stegeman, A van Oosterom.   

Abstract

Volume conduction models are used to describe and explain recorded motor unit potentials (MUPs). So far it has remained unclear which factors have to be taken into account in a volume conduction model. In the present study, five different models are confronted with measured MUP distributions over the skin surface above the m. biceps brachii generated by MUs at different depths and recorded by small surface electrodes. All model simulations include fibres of finite length. The models differ in the size of the volume conductor (finite/infinite), the number of different layers (1, 2 or 3) and the conductivities of these layers (representing muscle, subcutaneous fat and skin). All measured and simulated MUPs contain a mainly negative propagating wave followed by a positive wave simultaneously present at all electrode positions. The magnitude of the different MUP components relative to each other and as a function of motor unit (MU) and electrode position differ between the models studied and the measurements. All simulated MUPs changed faster with observation distance than the measured MUPs. The three-layer model, in which muscle tissue was surrounded by a subcutaneous fat layer and by a layer of skin resulted in MUPs closest to the measured MUPs.

Entities:  

Year:  1997        PMID: 11369265     DOI: 10.1016/s1050-6411(97)00009-6

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  21 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.  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

4.  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

5.  Effect of number of motor units and muscle fibre type on surface electromyogram.

Authors:  Sridhar Poosapadi Arjunan; Dinesh Kant Kumar; Katherine Wheeler; Hirokazu Shimada; Ariba Siddiqi
Journal:  Med Biol Eng Comput       Date:  2015-07-30       Impact factor: 2.602

6.  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

7.  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

8.  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

9.  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

Review 10.  Motor unit recruitment for dynamic tasks: current understanding and future directions.

Authors:  Emma F Hodson-Tole; James M Wakeling
Journal:  J Comp Physiol B       Date:  2008-07-03       Impact factor: 2.200

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