Literature DB >> 20691972

Muscle contributions to propulsion and support during running.

Samuel R Hamner1, Ajay Seth, Scott L Delp.   

Abstract

Muscles actuate running by developing forces that propel the body forward while supporting the body's weight. To understand how muscles contribute to propulsion (i.e., forward acceleration of the mass center) and support (i.e., upward acceleration of the mass center) during running we developed a three-dimensional muscle-actuated simulation of the running gait cycle. The simulation is driven by 92 musculotendon actuators of the lower extremities and torso and includes the dynamics of arm motion. We analyzed the simulation to determine how each muscle contributed to the acceleration of the body mass center. During the early part of the stance phase, the quadriceps muscle group was the largest contributor to braking (i.e., backward acceleration of the mass center) and support. During the second half of the stance phase, the soleus and gastrocnemius muscles were the greatest contributors to propulsion and support. The arms did not contribute substantially to either propulsion or support, generating less than 1% of the peak mass center acceleration. However, the arms effectively counterbalanced the vertical angular momentum of the lower extremities. Our analysis reveals that the quadriceps and plantarflexors are the major contributors to acceleration of the body mass center during running.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20691972      PMCID: PMC2973845          DOI: 10.1016/j.jbiomech.2010.06.025

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  39 in total

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2.  Generating dynamic simulations of movement using computed muscle control.

Authors:  Darryl G Thelen; Frank C Anderson; Scott L Delp
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Authors:  Mikiko Hara; Akira Shibayama; Daisuke Takeshita; Senshi Fukashiro
Journal:  J Biomech       Date:  2005-09-15       Impact factor: 2.712

4.  A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control.

Authors:  Katherine R S Holzbaur; Wendy M Murray; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2005-06       Impact factor: 3.934

5.  Muscle activities of the lower limb during level and uphill running.

Authors:  Toshiharu Yokozawa; Norihisa Fujii; Michiyoshi Ae
Journal:  J Biomech       Date:  2007-07-30       Impact factor: 2.712

Review 6.  Determining muscle's force and action in multi-articular movement.

Authors:  F E Zajac; M E Gordon
Journal:  Exerc Sport Sci Rev       Date:  1989       Impact factor: 6.230

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Authors:  L Reber; J Perry; M Pink
Journal:  Am J Sports Med       Date:  1993 Nov-Dec       Impact factor: 6.202

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Authors:  May Q Liu; Frank C Anderson; Michael H Schwartz; Scott L Delp
Journal:  J Biomech       Date:  2008-09-25       Impact factor: 2.712

9.  Knee muscle forces during walking and running in patellofemoral pain patients and pain-free controls.

Authors:  Thor F Besier; Michael Fredericson; Garry E Gold; Gary S Beaupré; Scott L Delp
Journal:  J Biomech       Date:  2009-03-06       Impact factor: 2.712

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Authors:  J Nilsson; A Thorstensson; J Halbertsma
Journal:  Acta Physiol Scand       Date:  1985-04
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  138 in total

1.  Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion.

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Journal:  J Neurophysiol       Date:  2015-08-05       Impact factor: 2.714

2.  Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait.

Authors:  Apoorva Rajagopal; Christopher L Dembia; Matthew S DeMers; Denny D Delp; Jennifer L Hicks; Scott L Delp
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-07       Impact factor: 4.538

3.  Hip muscle loads during running at various step rates.

Authors:  Rachel Lenhart; Darryl Thelen; Bryan Heiderscheit
Journal:  J Orthop Sports Phys Ther       Date:  2014-08-25       Impact factor: 4.751

4.  Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction Forces.

Authors:  Ziyun Ding; Chui K Tsang; Daniel Nolte; Angela E Kedgley; Anthony M J Bull
Journal:  IEEE Trans Biomed Eng       Date:  2019-03-28       Impact factor: 4.538

5.  WHAT IS A MOMENT ARM? CALCULATING MUSCLE EFFECTIVENESS IN BIOMECHANICAL MODELS USING GENERALIZED COORDINATES.

Authors:  Michael A Sherman; Ajay Seth; Scott L Delp
Journal:  Proc ASME Des Eng Tech Conf       Date:  2013-08

6.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

7.  Consequences of biomechanically constrained tasks in the design and interpretation of synergy analyses.

Authors:  Katherine M Steele; Matthew C Tresch; Eric J Perreault
Journal:  J Neurophysiol       Date:  2015-01-14       Impact factor: 2.714

8.  Shoe drop has opposite influence on running pattern when running overground or on a treadmill.

Authors:  Nicolas Chambon; Nicolas Delattre; Nils Guéguen; Eric Berton; Guillaume Rao
Journal:  Eur J Appl Physiol       Date:  2014-12-11       Impact factor: 3.078

9.  The relative contribution of ankle moment and trailing limb angle to propulsive force during gait.

Authors:  HaoYuan Hsiao; Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Hum Mov Sci       Date:  2014-12-12       Impact factor: 2.161

10.  Muscle contributions to fore-aft and vertical body mass center accelerations over a range of running speeds.

Authors:  Samuel R Hamner; Scott L Delp
Journal:  J Biomech       Date:  2012-12-11       Impact factor: 2.712

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