Literature DB >> 6538837

Influence of motor unit firing statistics on the median frequency of the EMG power spectrum.

A van Boxtel, L R Schomaker.   

Abstract

Changes in the EMG power spectrum during static fatiguing contractions are often attributed to changes in muscle fibre action potential conduction velocity. Mathematical models of the EMG power spectrum, which have been empirically confirmed, predict that under certain conditions a distinct maximum occurs in the low-frequency part of the spectrum, indicating the dominant firing rate of the motor units. The present study investigated the influence of this firing rate peak on the spectral changes during a static fatiguing contraction at 50% of maximum EMG amplitude in the frontalis and corrugator supercilii muscles. An exponential decrease of the median frequency (MF) of the EMG power spectrum was observed when the firing rate peak was absent. When the firing rate peak was present, an exaggerated decrease of MF in the beginning of the contraction was found, which was associated with an increase in firing rate peak magnitude. In later stages of the contraction, a partial recovery of MF occurred, concomitant with a decrease in firing rate peak magnitude. The influence of the firing rate peak on MF was also investigated during nonfatiguing contractions of the frontalis muscle at 20, 40, 60, and 80% of maximum EMG amplitude. A curvilinear relationship between MF and contraction strength was found, whether firing rate peaks were present or absent. The presence of firing rate peaks, however, was associated with a decrease in MF which was inversely related to contraction strength, due to the inverse relationship between firing rate peak magnitude and contraction strength.

Mesh:

Year:  1984        PMID: 6538837     DOI: 10.1007/bf00433394

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  39 in total

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Authors:  P Lago; N B Jones
Journal:  Med Biol Eng Comput       Date:  1977-11       Impact factor: 2.602

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Authors:  R J Elble; J E Randall
Journal:  J Neurophysiol       Date:  1976-03       Impact factor: 2.714

3.  The number of active motor units and their firing rates in voluntary contraction of human brachialis muscle.

Authors:  K Kanosue; M Yoshida; K Akazawa; K Fujii
Journal:  Jpn J Physiol       Date:  1979

4.  Lumped and population stochastic models of skeletal muscle: implications and predictions.

Authors:  C N Christakos; S Lal
Journal:  Biol Cybern       Date:  1980       Impact factor: 2.086

5.  Low-frequency spectral analysis of the e.m.g.

Authors:  P J Lago; N B Jones
Journal:  Med Biol Eng Comput       Date:  1981-11       Impact factor: 2.602

6.  Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts.

Authors:  B Bigland-Ritchie; E F Donovan; C S Roussos
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1981-11

7.  An analysis of synchronization and double discharge effects on low frequency electromyographic power spectra.

Authors:  A Blinowska; J Verroust; G Cannet
Journal:  Electromyogr Clin Neurophysiol       Date:  1980 Oct-Dec

8.  Myoelectric power spectrum dependence on muscular contraction level of elbow flexors.

Authors:  M Hagberg; B E Ericson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1982

9.  Participation of the stretch reflex in human physiological tremor.

Authors:  K E Hagbarth; R R Young
Journal:  Brain       Date:  1979-09       Impact factor: 13.501

10.  Frequency analysis of surface EMG to evaluation of muscle fatigue.

Authors:  T Sadoyama; H Miyano
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1981
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  13 in total

1.  Effects of supramaximal exercise on the electromyographic signal.

Authors:  A M Hunter; A St Clair Gibson; M I Lambert; L Nobbs; T D Noakes
Journal:  Br J Sports Med       Date:  2003-08       Impact factor: 13.800

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Authors:  D Gamet; J Duchêne; C Garapon-Bar; F Goubel
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

3.  EMG spectral shift as an indicator of fatigability in an heterogeneous muscle group.

Authors:  J Duchêne; F Goubel
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

4.  Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units.

Authors:  Vinzenz von Tscharner; Martin Ullrich; Maurice Mohr; Daniel Comaduran Marquez; Benno M Nigg
Journal:  Exp Brain Res       Date:  2018-08-20       Impact factor: 1.972

5.  Frequency analysis of electromyographically measured covert speech behavior.

Authors:  A B Dollins; F J McGuigan
Journal:  Pavlov J Biol Sci       Date:  1989 Jan-Mar

6.  The fatigability of two agonistic muscles in human isometric voluntary submaximal contraction: an EMG study. II. Motor unit firing rate and recruitment.

Authors:  B Maton; D Gamet
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1989

7.  Statistical procedures for interference EMG power spectra estimation.

Authors:  D Popivanov; A Todorov
Journal:  Med Biol Eng Comput       Date:  1986-07       Impact factor: 2.602

8.  Interleukin-6 response to isokinetic exercise in elite athletes: relationships to adrenocortical function and to mechanical and myoelectric fatigue.

Authors:  M A Minetto; A Rainoldi; M Gazzoni; G P Ganzit; L Saba; P Paccotti
Journal:  Eur J Appl Physiol       Date:  2006-09-02       Impact factor: 3.078

9.  Relationship between average muscle fibre conduction velocity and EMG power spectra during isometric contraction, recovery and applied ischemia.

Authors:  M J Zwarts; T W Van Weerden; H T Haenen
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1987

10.  The influence of force and circulation on average muscle fibre conduction velocity during local muscle fatigue.

Authors:  M J Zwarts; L Arendt-Nielsen
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988
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