Literature DB >> 22089483

Muscle coordination patterns for efficient cycling.

Ollie M Blake1, Yvan Champoux, James M Wakeling.   

Abstract

INTRODUCTION/
PURPOSE: Cycling is a repetitive activity using coordinated muscle recruitment patterns to apply force to the pedals. With more muscles available for activation than required, some patterns produce high power, whereas some are more efficient. The purpose of this study was to identify relationships between muscle coordination and factors affecting muscle coordination to explain changes in overall mechanical efficiency (ηO).
METHODS: Surface EMG, kinematics, and pedal forces were measured at 25%, 40%, 55%, 60%, 75%, and 90% V˙O(2max). Principal component analysis was used to establish muscle coordination, kinematic, and pedal force patterns associated with high and low ηO.
RESULTS: At 55%-60% V˙O(2max), ηO was maximized and was highly related to the muscle coordination patterns. At high ηO, there was more medial and lateral gastrocnemii and soleus; less gluteus maximus, rectus femoris, and tibialis anterior; later medial and lateral vastii and biceps femoris; and earlier semitendinosus muscle activity resulting in an even distribution and synchronization of peak activity. Also, the ankle was more plantar flexed through the top and downstroke of the pedal cycle and more dorsiflexed during the upstroke for high ηO. The ηO was independent of the pedal force application.
CONCLUSIONS: The results indicate that increased ηO is achieved through the coordination of muscles crossing the same joint, sequential peak activation from knee to hip to ankle, and reliance on multiple muscles for large joint torques. Also, muscle activity variability across the top and bottom of the cycle indicates that left and right leg muscle coordination may play a significant role in efficient cycling. These findings imply that cycling at 55%-60% V˙O(2max) will maximize the rider's exposure to high efficient muscle coordination and kinematics.

Entities:  

Mesh:

Year:  2012        PMID: 22089483     DOI: 10.1249/MSS.0b013e3182404d4b

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


  12 in total

1.  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

2.  Noninvasive assessment of muscle temperature during rest, exercise, and postexercise recovery in different environments.

Authors:  Andreas D Flouris; Paul Webb; Glen P Kenny
Journal:  J Appl Physiol (1985)       Date:  2015-03-26

3.  Age difference in efficiency of locomotion and maximal power output in well-trained triathletes.

Authors:  Jeanick Brisswalter; Sam S X Wu; Frederic Sultana; Thierry Bernard; Chris R Abbiss
Journal:  Eur J Appl Physiol       Date:  2014-08-15       Impact factor: 3.078

4.  THE ROLE of a BIKE FIT in CYCLISTS with HIP PAIN. A CLINICAL COMMENTARY.

Authors:  David J S Wadsworth; Patrick Weinrauch
Journal:  Int J Sports Phys Ther       Date:  2019-06

5.  Relative changes in ankle and hip control during bilateral joint movements in persons with multiple sclerosis.

Authors:  Matthew C Chua; Allison S Hyngstrom; Alexander V Ng; Brian D Schmit
Journal:  Clin Neurophysiol       Date:  2013-11-21       Impact factor: 3.708

Review 6.  A critical review of critical power.

Authors:  Raffy Dotan
Journal:  Eur J Appl Physiol       Date:  2022-03-18       Impact factor: 3.346

7.  From maturity to old age: tasks of daily life require a different muscle use in horses.

Authors:  R R Zsoldos; B Krüger; T F Licka
Journal:  Comp Exerc Physiol       Date:  2014-07-07

8.  Estimating changes in metabolic power from EMG.

Authors:  Ollie M Blake; James M Wakeling
Journal:  Springerplus       Date:  2013-05-19

9.  Statistical validation of wavelet transform coherence method to assess the transfer of calf muscle activation to blood pressure during quiet standing.

Authors:  Amanmeet Garg; Da Xu; Andrew P Blaber
Journal:  Biomed Eng Online       Date:  2013-12-23       Impact factor: 2.819

10.  Quadriceps and hamstring muscle activity during cycling as measured with intramuscular electromyography.

Authors:  Julio Cézar Lima da Silva; O Tarassova; M M Ekblom; E Andersson; G Rönquist; A Arndt
Journal:  Eur J Appl Physiol       Date:  2016-07-23       Impact factor: 3.078

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.