Literature DB >> 23489655

Volume conductor models in surface electromyography: computational techniques.

Luca Mesin1.   

Abstract

Models of surface electromyogram (EMG) are useful to assess the effect of geometrical or conductivity properties of the tissue on the recorded signal. This paper provides a review of structure based models describing specific volume conductors. The technique for the development of advanced analytical and numerical simulators is described. A new model is also introduced, simulating a layered volume conductor including a subcutaneous tissue with variable thicknesses, providing an approximate analytical solution in the Fourier transform domain. Note that volume conductors are described using Poisson equation, fundamental model of Mathematical Physics, which applies also to mechanics, diffusion, electrostatics problems.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23489655     DOI: 10.1016/j.compbiomed.2013.02.002

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  7 in total

1.  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

2.  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

3.  Influence of different geometric representations of the volume conductor on nerve activation during electrical stimulation.

Authors:  José Gómez-Tames; José González; Wenwei Yu
Journal:  Comput Math Methods Med       Date:  2014-09-09       Impact factor: 2.238

4.  Motor Unit Action Potential Clustering-Theoretical Consideration for Muscle Activation during a Motor Task.

Authors:  Michael J Asmussen; Vinzenz von Tscharner; Benno M Nigg
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

5.  Inter-day reliability of surface electromyography recordings of the lumbar part of erector spinae longissimus and trapezius descendens during box lifting.

Authors:  Mikkel Brandt; Lars Louis Andersen; Afshin Samani; Markus Due Jakobsen; Pascal Madeleine
Journal:  BMC Musculoskelet Disord       Date:  2017-12-11       Impact factor: 2.362

6.  Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems.

Authors:  Chris P Bradley; Nehzat Emamy; Thomas Ertl; Dominik Göddeke; Andreas Hessenthaler; Thomas Klotz; Aaron Krämer; Michael Krone; Benjamin Maier; Miriam Mehl; Tobias Rau; Oliver Röhrle
Journal:  Front Physiol       Date:  2018-07-12       Impact factor: 4.566

7.  Motor Nerve Conduction Block Estimation in Demyelinating Neuropathies by Deconvolution.

Authors:  Luca Mesin; Edoardo Lingua; Dario Cocito
Journal:  Bioengineering (Basel)       Date:  2022-01-10
  7 in total

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