Literature DB >> 15320452

Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

D Farina1, R Merletti.   

Abstract

The review focuses on the methods currently available for estimating muscle fibre conduction velocity (CV) from surface electromyographic (EMG) signals. The basic concepts behind the issue of estimating CV from EMG signals are discussed. As the action potentials detected at the skin surface along the muscle fibres are, in practice, not equal in shape, the estimation of the delay of propagation (and thus of CV) is not a trivial task. Indeed, a strictly unique definition of delay does not apply in these cases. Methods for estimating CV can thus be seen as corresponding to specific definitions of the delay of propagation between signals of unequal shape. The most commonly used methods for CV estimation are then reviewed. Together with classic methods, recent approaches are presented. The techniques are described with common notations to underline their relationships and to highlight when an approach is a generalisation of a previous one or when it is based on new concepts. The review identifies the difficulties of CV estimation and underlines the issues that should be considered by the investigator when selecting a particular method and detection system for assessing muscle fibre CV. The many open issues in CV estimation are also presented.

Mesh:

Year:  2004        PMID: 15320452     DOI: 10.1007/bf02350984

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  62 in total

1.  Effect of age on muscle functions investigated with surface electromyography.

Authors:  Roberto Merletti; Dario Farina; Marco Gazzoni; Maria Pia Schieroni
Journal:  Muscle Nerve       Date:  2002-01       Impact factor: 3.217

2.  Repeated ischaemic isometric exercise increases muscle fibre conduction velocity in humans: involvement of Na(+)-K(+)-ATPase.

Authors:  G A Rongen; J P van Dijk; E E van Ginneken; D F Stegeman; P Smits; M J Zwarts
Journal:  J Physiol       Date:  2002-05-01       Impact factor: 5.182

3.  Changes in muscle fiber conduction velocity indicate recruitment of distinct motor unit populations.

Authors:  C J Houtman; D F Stegeman; J P Van Dijk; M J Zwarts
Journal:  J Appl Physiol (1985)       Date:  2003-05-23

4.  Functional differentiation of motor units in human opponens pollicis muscle.

Authors:  A Gydikov; G Dimitrov; D Kosarov; N Dimitrova
Journal:  Exp Neurol       Date:  1976-01       Impact factor: 5.330

Review 5.  Interpretation of EMG changes with fatigue: facts, pitfalls, and fallacies.

Authors:  N A Dimitrova; G V Dimitrov
Journal:  J Electromyogr Kinesiol       Date:  2003-02       Impact factor: 2.368

6.  Effects of changes in asymmetry, duration and propagation velocity of the intracellular potential on the power spectrum of extracellular potentials produced by an excitable fiber.

Authors:  G V Dimitrov; Z C Lateva; N A Dimitrova
Journal:  Electromyogr Clin Neurophysiol       Date:  1988 Mar-Apr

7.  Estimation of the spreading velocity and the parameters of the muscle potentials by averaging of the summated electromyogram.

Authors:  A Gydikov; K Kostov; A Kossev; D Kosarov
Journal:  Electromyogr Clin Neurophysiol       Date:  1984 Mar-Apr

8.  Spreading of potentials along the muscle, investigated by averaging of the summated EMG.

Authors:  A Gydikov
Journal:  Electromyogr Clin Neurophysiol       Date:  1981 Sep-Oct

9.  Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions.

Authors:  R Merletti; M Knaflitz; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1990-11

10.  Estimation of single motor unit conduction velocity from surface electromyogram signals detected with linear electrode arrays.

Authors:  D Farina; W Muhammad; E Fortunato; O Meste; R Merletti; H Rix
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

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  20 in total

1.  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

2.  On the nature of the electromyographic signals recorded during vibration exercise.

Authors:  Lin Xu; Chiara Rabotti; Massimo Mischi
Journal:  Eur J Appl Physiol       Date:  2015-01-10       Impact factor: 3.078

3.  Estimation of impulse response between electromyogram signals for use in conduction delay distribution estimation.

Authors:  Tahsin Hassan; Kyle C D McIntosh; David A Gabriel; Edward A Clancy
Journal:  Med Biol Eng Comput       Date:  2013-02-06       Impact factor: 2.602

Review 4.  The extraction of neural strategies from the surface EMG: an update.

Authors:  Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2014-10-02

5.  Muscle fiber conduction velocity and EMG amplitude of the upper trapezius muscle in healthy subjects after low-level laser irradiation: a randomized, double-blind, placebo-controlled, crossover study.

Authors:  Fabiana Sarilho de Mendonça; Paulo de Tarso Camillo de Carvalho; Daniela Aparecida Biasotto-Gonzalez; Simone Aparecida Penimpedo Calamita; Cid André Fidelis de Paula Gomes; César Ferreira Amorim; Marco Antônio Fumagalli; Fabiano Politti
Journal:  Lasers Med Sci       Date:  2017-12-05       Impact factor: 3.161

6.  Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring.

Authors:  Daniela De Venuto; Giovanni Mezzina
Journal:  Sensors (Basel)       Date:  2019-10-22       Impact factor: 3.576

7.  Motor unit conduction velocity during sustained contraction of the vastus medialis muscle.

Authors:  Nosratollah Hedayatpour; Lars Arendt-Nielsen; Dario Farina
Journal:  Exp Brain Res       Date:  2007-02-08       Impact factor: 2.064

8.  Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes.

Authors:  Michael Brun Jensen; José Alberto Biurrun Manresa; Ken Steffen Frahm; Ole Kæseler Andersen
Journal:  BMC Neurosci       Date:  2013-03-26       Impact factor: 3.288

9.  Motor unit action potential conduction velocity estimated from surface electromyographic signals using image processing techniques.

Authors:  Fabiano Araujo Soares; João Luiz Azevedo Carvalho; Cristiano Jacques Miosso; Marcelino Monteiro de Andrade; Adson Ferreira da Rocha
Journal:  Biomed Eng Online       Date:  2015-09-17       Impact factor: 2.819

Review 10.  The influence of confounding factors on the relationship between muscle contraction level and MF and MPF values of EMG signal: a review.

Authors:  Danuta Roman-Liu
Journal:  Int J Occup Saf Ergon       Date:  2016
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