Literature DB >> 12402291

Surface EMG crosstalk between knee extensor muscles: experimental and model results.

Dario Farina1, Roberto Merletti, Barbara Indino, Marisa Nazzaro, Marco Pozzo.   

Abstract

Surface electromyographic (EMG) crosstalk between vastus lateralis, vastus medialis, and rectus femoris muscles was evaluated by selective electrical stimulation of one muscle and recording from the stimulated and another muscle with linear surface arrays of eight electrodes. The ratio between the amplitude of the signals recorded over nonstimulated and stimulated muscles and their correlation coefficient were used as indices to quantify crosstalk. Single-differential and double-differential detection systems were used with interelectrode distances in the range 10-40 mm. The multichannel EMG signals clearly showed that crosstalk is largely due to nonpropagating potentials that correspond in time to the end of the propagation of the action potentials generated by the stimulated muscle. The crosstalk signal increased with increasing interelectrode distance and was statistically higher for single- than for double-differential recordings. The correlation-based indices of crosstalk were poorly correlated with the amplitude-based indices. Moreover, the characteristic spectral frequencies of the signals detected over the nonstimulated muscles were statistically higher than those from the stimulated muscles. A mathematical model of signal generation was used to explain the experimental findings. This study clarifies many controversial findings of past investigations and creates the basis for crosstalk interpretation, simulation, and reduction. Copyright 2002 Wiley Periodicals, Inc. Muscle Nerve 26: 681-695, 2002

Mesh:

Year:  2002        PMID: 12402291     DOI: 10.1002/mus.10256

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  27 in total

1.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation.

Authors:  E Schulte; D Farina; G Rau; R Merletti; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

2.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: spatial selectivity.

Authors:  D Farina; E Schulte; R Merletti; G Rau; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

Review 3.  Surface electromyogram signal modelling.

Authors:  K C McGill
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.  Electrode position markedly affects knee torque in tetanic, stimulated contractions.

Authors:  Taian M Vieira; Paolo Potenza; Laura Gastaldi; Alberto Botter
Journal:  Eur J Appl Physiol       Date:  2015-11-02       Impact factor: 3.078

6.  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

Review 7.  Neural adaptations to resistive exercise: mechanisms and recommendations for training practices.

Authors:  David A Gabriel; Gary Kamen; Gail Frost
Journal:  Sports Med       Date:  2006       Impact factor: 11.136

8.  Effects of muscle fibre shortening on the characteristics of surface motor unit potentials.

Authors:  Javier Rodriguez-Falces; Nicolas Place
Journal:  Med Biol Eng Comput       Date:  2013-10-30       Impact factor: 2.602

9.  Accurate and representative decoding of the neural drive to muscles in humans with multi-channel intramuscular thin-film electrodes.

Authors:  Silvia Muceli; Wigand Poppendieck; Francesco Negro; Ken Yoshida; Klaus P Hoffmann; Jane E Butler; Simon C Gandevia; Dario Farina
Journal:  J Physiol       Date:  2015-09-01       Impact factor: 5.182

10.  Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output.

Authors:  Christopher K Thompson; Francesco Negro; Michael D Johnson; Matthew R Holmes; Laura Miller McPherson; Randall K Powers; Dario Farina; Charles J Heckman
Journal:  J Physiol       Date:  2018-06-09       Impact factor: 5.182

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