Literature DB >> 15000373

A surface EMG generation model with multilayer cylindrical description of the volume conductor.

Dario Farina1, Luca Mesin, Simone Martina, Roberto Merletti.   

Abstract

We propose a model for surface electromyography (EMG) signal generation with cylindrical description of the volume conductor. The model is more general and complete with respect to previous approaches. The volume conductor is described as a multilayered cylinder in which the source can be located either along the longitudinal or the angular direction, in any of the layers. The source is represented as a spatio-temporal function which describes the generation, propagation, and extinction of the intracellular action potential at the end-plate, along the fiber, and at the tendons, respectively. The layers are anisotropic. The volume conductor effect is described as a two-dimensional spatial filtering. Electrodes of any shape or dimension are simulated, forming structures which are described as spatial filters. The analytical derivation which leads to the signal in the temporal domain is performed in the spatial and temporal frequency domains. Numerical issues related to the frequency-based approach are discussed. The descriptions of the volume conductor and of the source are applied to the cases of signal generation from a limb and a sphincter muscle. Representative simulations of both cases are provided. The resultant model is based on analytical derivations and constitutes a step forward in surface EMG signal modeling, including features not described in any other analytical approach.

Mesh:

Year:  2004        PMID: 15000373     DOI: 10.1109/TBME.2003.820998

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  19 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

Review 2.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.

Authors:  Kevin G Keenan; Francisco J Valero-Cuevas
Journal:  Biomed Signal Process Control       Date:  2008-04       Impact factor: 3.880

4.  Detecting the unique representation of motor-unit action potentials in the surface electromyogram.

Authors:  Dario Farina; Francesco Negro; Marco Gazzoni; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-05-21       Impact factor: 2.714

5.  Amplitude cancellation of motor-unit action potentials in the surface electromyogram can be estimated with spike-triggered averaging.

Authors:  Dario Farina; Corrado Cescon; Francesco Negro; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-05-07       Impact factor: 2.714

6.  Predicting electromyographic signals under realistic conditions using a multiscale chemo-electro-mechanical finite element model.

Authors:  Mylena Mordhorst; Thomas Heidlauf; Oliver Röhrle
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

7.  Modifying motor unit territory placement in the Fuglevand model.

Authors:  Jason W Robertson; Jamie A Johnston
Journal:  Med Biol Eng Comput       Date:  2017-04-08       Impact factor: 2.602

8.  Identification of common synaptic inputs to motor neurons from the rectified electromyogram.

Authors:  Dario Farina; Francesco Negro; Ning Jiang
Journal:  J Physiol       Date:  2013-03-18       Impact factor: 5.182

Review 9.  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

10.  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

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