Literature DB >> 1627684

Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing.

A J Fuglevand1, D A Winter, A E Patla, D Stashuk.   

Abstract

A model of the motor unit action potential was developed to investigate the amplitude and frequency spectrum contributions of motor units, located at various depths within muscle, to the surface detected electromyographic (EMG) signal. A dipole representation of the transmembrane current in a three-dimensional muscle volume was used to estimate detected individual muscle fiber action potentials. The effects of anisotropic muscle conductance, innervation zone location, propagation velocity, fiber length, electrode area, and electrode configuration were included in the fiber action potential model. A motor unit action potential was assumed to be the sum of the individual muscle fiber action potentials. A computational procedure, based on the notion of isopotential layers, was developed which substantially reduced the calculation time required to estimate motor unit action potentials. The simulations indicated that: 1) only those motor units with muscle fibers located within 10-12 mm of the electrodes would contribute significant signal energy to the surface EMG, 2) variation in surface area of electrodes has little effect on the detection depth of motor unit action potentials, 3) increased interelectrode spacing moderately increases detection depth, and 4) the frequency content of action potentials decreases steeply with increased electrode-motor unit territory distance.

Mesh:

Year:  1992        PMID: 1627684     DOI: 10.1007/bf00201021

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  43 in total

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Journal:  Acta Physiol Scand       Date:  1957-04-10

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Authors:  F BUCHTHAL; C GULD; P ROSENFALCK
Journal:  Acta Physiol Scand       Date:  1955-09-20

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Journal:  J Physiol       Date:  1987-10       Impact factor: 5.182

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Journal:  Med Biol Eng       Date:  1970-07

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Journal:  Neurology       Date:  1969-03       Impact factor: 9.910

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Journal:  Electroencephalogr Clin Neurophysiol       Date:  1977-07

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Journal:  IEEE Trans Biomed Eng       Date:  1978-05       Impact factor: 4.538

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Authors:  I Gath; E Stålberg
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1975-10
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  51 in total

1.  Stretch reflexes in human abdominal muscles.

Authors:  I D Beith; P J Harrison
Journal:  Exp Brain Res       Date:  2004-07-17       Impact factor: 1.972

2.  Extraction of individual muscle mechanical action from endpoint force.

Authors:  Jason J Kutch; Arthur D Kuo; William Z Rymer
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

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.  Long-term registration of daily jaw muscle activity in juvenile rabbits.

Authors:  T van Wessel; G E J Langenbach; P Brugman; T M G J van Eijden
Journal:  Exp Brain Res       Date:  2004-12-15       Impact factor: 1.972

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

6.  Surface electrodes are not sufficient to detect neurotonic discharges: observations in a porcine model and clinical review of deltoid electromyographic monitoring using multiple electrodes.

Authors:  Stanley A Skinner; Ensor E Transfeldt; Kay Savik
Journal:  J Clin Monit Comput       Date:  2008-03-12       Impact factor: 2.502

7.  Activation amplitude patterns do not change for back muscles but are altered for abdominal muscles between dominant and non-dominant hands during one-handed lifts.

Authors:  Heather L Butler; Cheryl L Hubley-Kozey; John W Kozey
Journal:  Eur J Appl Physiol       Date:  2009-02-11       Impact factor: 3.078

8.  Rectification of EMG in low force contractions improves detection of motor unit coherence in the beta-frequency band.

Authors:  Nicholas J Ward; Simon F Farmer; Luc Berthouze; David M Halliday
Journal:  J Neurophysiol       Date:  2013-07-31       Impact factor: 2.714

9.  Motor unit pool organization examined via spike-triggered averaging of the surface electromyogram.

Authors:  Xiaogang Hu; William Z Rymer; Nina L Suresh
Journal:  J Neurophysiol       Date:  2013-05-22       Impact factor: 2.714

10.  Assessment of across-muscle coherence using multi-unit vs. single-unit recordings.

Authors:  Jamie A Johnston; Gabriele Formicone; Thomas M Hamm; Marco Santello
Journal:  Exp Brain Res       Date:  2010-11-03       Impact factor: 1.972

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