Literature DB >> 20719600

EMG profiles of lower extremity muscles during cycling at constant workload and cadence.

M M Ryan1, R J Gregor.   

Abstract

Limited conclusions concerning the variability in EMG patterns during cycling can be made from available data in the literature because of methodological differences which include electrode placement and experimental design. The purpose of this study was to monitor EMG signals from ten lower extremity muscles over a large number of pedalling cycles in experienced cyclists at constant workload and cadence. Variability across subjects was evaluated by calculating the coefficient of variation (CV) at 10% intervals of the pedalling cycle. Within subject EMG patterns were very consistent within a single trial. The single-joint hip and knee extensors (gluteus maximus, vastus medialis, and vastus lateralis) had the lowest CV values (less than 30%). This low variability appears to support their role as power generators. Variability was generally higher in the hamstring muscles with two biceps femoris patterns emerging despite relatively similar experimental conditions. EMG signals from surface and fine wire electrodes for the hamstring muscles were compared for possible contribution to the discrepancies in the EMG profiles. Fine wire EMG data were quite similar to those obtained using surface electrodes, indicating that crosstalk had minimal effect, in general, on the hamstring signals. The tibialis anterior, gastrocnemius, and soleus muscles displayed fairly repeatable patterns, with variability highest in the first 20% of the pedalling cycle for all muscles studied.
Copyright © 1992. Published by Elsevier Ltd.

Year:  1992        PMID: 20719600     DOI: 10.1016/1050-6411(92)90018-E

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  25 in total

1.  Modulation of human cutaneous reflexes during rhythmic cyclical arm movement.

Authors:  E P Zehr; R Chua
Journal:  Exp Brain Res       Date:  2000-11       Impact factor: 1.972

2.  Physiological responses during cycling with noncircular "Harmonic" and circular chainrings.

Authors:  Sébastien Ratel; Pascale Duché; Christophe A Hautier; Craig A Williams; Mario Bedu
Journal:  Eur J Appl Physiol       Date:  2003-09-04       Impact factor: 3.078

3.  Change of muscle activation patterns in uphill cycling of varying slope.

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4.  Influence of musculo-tendinous stiffness of the plantar ankle flexor muscles upon maximal power output on a cycle ergometre.

Authors:  Tarak Driss; Daniel Lambertz; Majdi Rouis; Henry Vandewalle
Journal:  Eur J Appl Physiol       Date:  2012-02-22       Impact factor: 3.078

5.  Changes in cortical activity measured with EEG during a high-intensity cycling exercise.

Authors:  Hendrik Enders; Filomeno Cortese; Christian Maurer; Jennifer Baltich; Andrea B Protzner; Benno M Nigg
Journal:  J Neurophysiol       Date:  2015-11-04       Impact factor: 2.714

6.  Electromyographic analysis of hip adductor muscles during incremental fatiguing pedaling exercise.

Authors:  Kohei Watanabe; Keisho Katayama; Koji Ishida; Hiroshi Akima
Journal:  Eur J Appl Physiol       Date:  2009-05-24       Impact factor: 3.078

7.  Interindividual variability of electromyographic patterns and pedal force profiles in trained cyclists.

Authors:  François Hug; Jean Marc Drouet; Yvan Champoux; Antoine Couturier; Sylvain Dorel
Journal:  Eur J Appl Physiol       Date:  2008-07-16       Impact factor: 3.078

Review 8.  The measurement of maximal (anaerobic) power output on a cycle ergometer: a critical review.

Authors:  Tarak Driss; Henry Vandewalle
Journal:  Biomed Res Int       Date:  2013-08-29       Impact factor: 3.411

9.  Motor adaptation to prosthetic cycling in people with trans-tibial amputation.

Authors:  W Lee Childers; Boris I Prilutsky; Robert J Gregor
Journal:  J Biomech       Date:  2014-04-26       Impact factor: 2.712

Review 10.  Biomechanical factors associated with shoe/pedal interfaces. Implications for injury.

Authors:  R J Gregor; J B Wheeler
Journal:  Sports Med       Date:  1994-02       Impact factor: 11.136

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