Literature DB >> 2708517

Measurement of muscle fiber conduction velocity in humans: techniques and applications.

L Arendt-Nielsen1, M Zwarts.   

Abstract

Different methods of measuring human muscle fiber conduction velocity (MFCV) are outlined. A major division can be made between invasive (needle) and noninvasive [surface electromyographic (EMG)] recording techniques. The benefits and limitations associated with the different approaches are discussed. The conduction velocity of individual muscle fibers are measurable with needle recordings on routine EMG apparatus. Velocities measured with electrical stimulation of single fibers or bundle of fibers are in general lower than recordings made during voluntary contraction. With surface EMG, an average estimate of the MFCV from many fibers and motor units can be determined with computerized data analyses--both frequency and time domain approaches. The cross-correlation method is widely used to calculate the time lag between two EMGs recorded along the muscle. Using the surface EMG-based methods, MFCV can be calculated at all contraction levels. Thus, the change in sarcolemmal function during local muscle fatigue can be assessed. Physiological factors influencing the MFCV and the utility of the MFCV estimation in clinical practice are discussed. Compared to nerve conduction velocity studies, the clinical interest in MFCV has been limited.

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Year:  1989        PMID: 2708517     DOI: 10.1097/00004691-198904000-00004

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  23 in total

1.  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

2.  Motor unit conduction velocity distribution estimation: assessment of two short-term processing methods.

Authors:  J Y Hogrel; J Duchêne
Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

Review 3.  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

4.  Electromyogram power spectrum during dynamic contractions at different intensities of exercise.

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

5.  Influence of motor unit properties on the size of the simulated evoked surface EMG potential.

Authors:  Kevin G Keenan; Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

6.  Within-train neuromuscular propagation varies with torque in paralyzed human muscle.

Authors:  Ya-Ju Chang; Richard K Shields
Journal:  Muscle Nerve       Date:  2002-11       Impact factor: 3.217

7.  Early phase interference between low-intensity running and power training in moderately trained females.

Authors:  Gerasimos Terzis; Kostas Spengos; Spyros Methenitis; Per Aagaard; Nikos Karandreas; Gregory Bogdanis
Journal:  Eur J Appl Physiol       Date:  2016-04-04       Impact factor: 3.078

8.  Crossed motor innervation of the base of human tongue.

Authors:  Leszek Kubin; Amy S Jordan; Christian L Nicholas; Jennifer M Cori; John G Semmler; John Trinder
Journal:  J Neurophysiol       Date:  2015-04-08       Impact factor: 2.714

Review 9.  Determinants, analysis and interpretation of the muscle compound action potential (M wave) in humans: implications for the study of muscle fatigue.

Authors:  Javier Rodriguez-Falces; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2017-12-28       Impact factor: 3.078

Review 10.  An Evidence-Based Framework for Strengthening Exercises to Prevent Hamstring Injury.

Authors:  Matthew N Bourne; Ryan G Timmins; David A Opar; Tania Pizzari; Joshua D Ruddy; Casey Sims; Morgan D Williams; Anthony J Shield
Journal:  Sports Med       Date:  2018-02       Impact factor: 11.136

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