Literature DB >> 7723645

The relationship between cadence and lower extremity EMG in cyclists and noncyclists.

A P Marsh1, P E Martin.   

Abstract

Male cyclists (N = 8) and noncyclists (N = 8) pedaled under six randomly ordered cadences (50, 65, 80, 95, 110 rpm and the preferred cadence) at 200 W to test the hypothesis that electromyographic activity of selected lower limb muscles is minimized at the preferred cadence. Average preferred cadences for cyclists (85.2 +/- 9.2 rpm) and noncyclists (91.6 +/- 10.5 rpm) were not statistically different. Only gastrocnemius EMG was affected substantially and systematically by cadence changes, increasing linearly with cadence increases. Rectus femoris and vastus lateralis EMG displayed significant quadratic and linear relationships with cadence, respectively, but EMG differences between cadences were small for both muscles. Noncyclists did not exhibit significantly different patterns of muscle activity from cyclists, although there was a trend for soleus and gastrocnemius EMG to be higher in noncyclists. The results did not support our hypothesis that lower extremity muscle activation is minimized at an individual's preferred pedaling cadence. Thus, preferred cadence selection does not appear to be related to minimization of muscle activation. Given the nonlinear relationships between muscle mechanical properties, force, and EMG it is unlikely that a simple relationship exists between EMG and muscle stress.

Mesh:

Year:  1995        PMID: 7723645

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  22 in total

1.  Effects of spontaneously chosen crank rate variations on electromyographic responses in sub-maximal arm exercise in inexperienced subjects.

Authors:  G Marais; L Dupont; J Vanvelcenaher; J P Clarys; P Pelayo
Journal:  Eur J Appl Physiol       Date:  2004-07-08       Impact factor: 3.078

2.  Heterogeneity of muscle recruitment pattern during pedaling in professional road cyclists: a magnetic resonance imaging and electromyography study.

Authors:  François Hug; David Bendahan; Yann Le Fur; Patrick J Cozzone; Laurent Grélot
Journal:  Eur J Appl Physiol       Date:  2004-04-20       Impact factor: 3.078

3.  A method for detecting the temporal sequence of muscle activation during cycling using MRI.

Authors:  Christopher P Elder; Ryan N Cook; Kenneth L Wilkens; Marti A Chance; Otto A Sanchez; Bruce M Damon
Journal:  J Appl Physiol (1985)       Date:  2010-12-16

4.  Muscle coordination limits efficiency and power output of human limb movement under a wide range of mechanical demands.

Authors:  Ollie M Blake; James M Wakeling
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

5.  Cadence-dependent changes in corticospinal excitability of the biceps brachii during arm cycling.

Authors:  Davis A Forman; Devin T G Philpott; Duane C Button; Kevin E Power
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

6.  Cadence selection affects metabolic responses during cycling and subsequent running time to fatigue.

Authors:  F Vercruyssen; R Suriano; D Bishop; C Hausswirth; J Brisswalter
Journal:  Br J Sports Med       Date:  2005-05       Impact factor: 13.800

7.  Cadence and performance in elite cyclists.

Authors:  Øivind Foss; Jostein Hallén
Journal:  Eur J Appl Physiol       Date:  2004-10-21       Impact factor: 3.078

8.  Constant versus variable-intensity during cycling: effects on subsequent running performance.

Authors:  Thierry Bernard; Fabrice Vercruyssen; Cyrille Mazure; Philippe Gorce; Christophe Hausswirth; Jeanick Brisswalter
Journal:  Eur J Appl Physiol       Date:  2006-12-05       Impact factor: 3.078

9.  Relation between preferred and optimal cadences during two hours of cycling in triathletes.

Authors:  S Argentin; C Hausswirth; T Bernard; F Bieuzen; J-M Leveque; A Couturier; R Lepers
Journal:  Br J Sports Med       Date:  2006-04       Impact factor: 13.800

Review 10.  Physiological differences between cycling and running: lessons from triathletes.

Authors:  Gregoire P Millet; V E Vleck; D J Bentley
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

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