Literature DB >> 7126693

A study of the electromyogram using a population stochastic model of skeletal muscle.

C N Christakos.   

Abstract

The features of the electromyogram (EMG) are studied using a population model of skeletal muscle based on the differing properties and the independent activation of motor units (MUs). It is shown, both analytically and by computer simulation, that: (a) The power spectrum of the EMG is determined by the distribution of filtering and firing properties of the active MUs. (b) A tendency towards a rhythmical grouping of action potentials is to be expected from a set of asynchronous MUs firing semiregularly at similar rates; the grouped electrical activity has a phase-lead over the force output of the set of about 180 degrees. A unified explanation of the properties of the muscle force waveform and the electromyogram, in terms of asynchronous activity of MUs, is proposed. The explanation covers the relationship and the differences between the two signals.

Mesh:

Year:  1982        PMID: 7126693     DOI: 10.1007/bf00387208

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


  25 in total

1.  Electrophysiological manifestations of isometric contraction sustained to maximal fatigue in healthy humans.

Authors:  A Magora; B Gonen; M S Eimerl; F Magora
Journal:  Electromyogr Clin Neurophysiol       Date:  1976 Aug-Sep

2.  Effect of motor-unit firing time statistics on e.m.g. spectra.

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

3.  Motor-unit activity responsible for 8- to 12-Hz component of human physiological finger tremor.

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

4.  Simulation of electromyograms showing interference patterns.

Authors:  R S Person; M S Libkind
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1970-06

5.  A model for myoelectric signal generation.

Authors:  G Brody; R N Scott; R Balasubramanian
Journal:  Med Biol Eng       Date:  1974-01

6.  Relationship between forearm tremor and the biceps electromyogram.

Authors:  J R Fox; J E Randall
Journal:  J Appl Physiol       Date:  1970-07       Impact factor: 3.531

7.  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

8.  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

9.  Comparison of electromyogram spectra with force spectra during human elbow tremor.

Authors:  P B Matthews; R B Muir
Journal:  J Physiol       Date:  1980-05       Impact factor: 5.182

10.  Mechanical and neural feedback factors in postural hand tremor of normal subjects.

Authors:  R N Stiles
Journal:  J Neurophysiol       Date:  1980-07       Impact factor: 2.714

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  5 in total

Review 1.  Surface electromyogram signal modelling.

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

2.  Interaction between short- and long-latency components of the human stretch reflex during sinusoidal stretching.

Authors:  P B Matthews
Journal:  J Physiol       Date:  1993-03       Impact factor: 5.182

3.  Neural activity states in different forms of physiological tremor. Facts and hypotheses.

Authors:  U Windhorst
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

4.  Tremor-related motor unit firing in Parkinson's disease: implications for tremor genesis.

Authors:  C N Christakos; S Erimaki; E Anagnostou; D Anastasopoulos
Journal:  J Physiol       Date:  2009-08-24       Impact factor: 5.182

5.  Characteristics of Rest and Postural Tremors in Parkinson's Disease: An Analysis of Motor Unit Firing Synchrony and Patterns.

Authors:  Orsalia M Agapaki; Constantinos N Christakos; Dimitrios Anastasopoulos
Journal:  Front Hum Neurosci       Date:  2018-05-01       Impact factor: 3.169

  5 in total

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