Literature DB >> 15046992

Foot and ankle forces during an automobile collision: the influence of muscles.

E C Hardin1, A Su, A J van den Bogert.   

Abstract

Muscles have a potentially important effect on lower extremity injuries during an automobile collision. Computational modeling can be a powerful tool to predict these effects and develop protective interventions. Our purpose was to determine how muscles influence peak foot and ankle forces during an automobile collision. A 2-D bilateral musculoskeletal model was constructed with seven segments. Six muscle groups were included in the right lower extremity, each represented by a Hill muscle model. Vehicle deceleration data were applied as input and the resulting movements were simulated. Three models were evaluated: no muscles (NM), minimal muscle activation at a brake pedal force of 400 N (MN), and maximal muscle activation to simulate panic braking (MX). Muscle activation always resulted in large increases in peak joint force. Peak ankle joint force was greatest for MX (10120 N), yet this model also had the lowest peak rearfoot force (629 N). Peak force on the Achilles tendon was 4.5 times greater, during MX (6446 N) compared to MN (1430 N). We conclude that (1). external and internal forces are dependent on muscles, (2). muscle activation level could exacerbate axial loading injuries, (3). external and internal forces can be inversely related once muscle properties are included.

Mesh:

Year:  2004        PMID: 15046992     DOI: 10.1016/j.jbiomech.2003.09.030

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


  4 in total

1.  Predictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2012-02-24       Impact factor: 2.712

2.  Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.

Authors:  Jason P Halloran; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

3.  Optimality principles for model-based prediction of human gait.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2010-01-13       Impact factor: 2.712

Review 4.  The biomechanics of lower limb injuries in frontal-impact road traffic collisions.

Authors:  Mohannad B Ammori; Fikri M Abu-Zidan
Journal:  Afr Health Sci       Date:  2018-06       Impact factor: 0.927

  4 in total

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