Literature DB >> 11744666

Motor unit recruitment strategies investigated by surface EMG variables.

Dario Farina1, Mauro Fosci, Roberto Merletti.   

Abstract

During isometric contractions of increasing strength, motor units (MUs) are recruited by the central nervous system in an orderly manner starting with the smallest, with muscle fibers that usually show the lowest conduction velocity (CV). Theory predicts that the higher the velocity of propagation of the action potential, the higher the power at high frequencies of the detected surface signal. These considerations suggest that the power spectral density of the surface detected electromyogram (EMG) signal may give indications about the MU recruitment process. The purpose of this paper is to investigate the potential and limitations of spectral analysis of the surface EMG signal as a technique for the investigation of muscle force control. The study is based on a simulation approach and on an experimental investigation of the properties of surface EMG signals detected from the biceps brachii during isometric linearly increasing torque contractions. Both simulation and experimental data indicate that volume conductor properties play an important role as confounding factors that may mask any relation between EMG spectral variables and estimated CV as a size principle parameter during ramp contractions. The correlation between spectral variables and CV is thus significantly lower when the MU pool is not stable than during constant-torque isometric contractions. Our results do not support the establishment of a general relationship between spectral EMG variables and torque or recruitment strategy.

Mesh:

Year:  2002        PMID: 11744666     DOI: 10.1152/jappl.2002.92.1.235

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  59 in total

1.  Motor unit identification in two neighboring recording positions of the human trapezius muscle during prolonged computer work.

Authors:  Daniel Zennaro; Thomas Läubli; Helmut Krueger
Journal:  Eur J Appl Physiol       Date:  2003-04-24       Impact factor: 3.078

2.  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

3.  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 4.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

5.  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 6.  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

7.  Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays.

Authors:  M Pozzo; A Bottin; R Ferrabone; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

8.  A spectral analysis of rotator cuff musculature electromyographic activity: surface and indwelling.

Authors:  Sherry I Backus; Daniel P Tomlinson; Bavornrat Vanadurongwan; Mark W Lenhoff; Frank A Cordasco; Eric L Chehab; Ronald S Adler; R Frank Henn; Howard J Hillstrom
Journal:  HSS J       Date:  2010-08-13

9.  A muscle architecture model offering control over motor unit fiber density distributions.

Authors:  Javier Navallas; Armando Malanda; Luis Gila; Javier Rodríguez; Ignacio Rodríguez
Journal:  Med Biol Eng Comput       Date:  2010-06-10       Impact factor: 2.602

10.  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

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