Medical Journals

Contribution of Muscle Series Elasticity to Maximum Performance in Drop Jumping.

Authors:
  • Böhm Harald
  • Cole Gerald K
  • Brüggemann Gert-Peter
  • Ruder Hanns

From: Department of Sport Equipment & Materials, Technical University Munich, Connolystr, Munich, Germany.

Journal of applied biomechanics

  • Publish Date: Feb 2006
  • ISSN: 1065-8483
  • Volume: 22
  • Issue: 1
  • Pages: 3-13
  • Medium: Print
  • Language: English
  • Citation (JAMA): Böhm Harald, Cole Gerald K, Brüggemann Gert-Peter, et al. Contribution of Muscle Series Elasticity to Maximum Performance in Drop Jumping.. Feb 2006;22:3-13

Abstract

The contribution of muscle in-series compliance on maximum performance of the muscle tendon complex was investigated using a forward dynamic computer simulation. The model of the human body contains 8 Hill-type muscles of the lower extremities. Muscle activation is optimized as a function of time, so that maximum drop jump height is achieved by the model. It is shown that the muscle series elastic energy stored in the downward phase provides a considerable contribution (32%) to the total muscle energy in the push-off phase. Furthermore, by the return of stored elastic energy all muscle contractile elements can reduce their shortening velocity up to 63% during push-off to develop a higher force due to their force velocity properties. The additional stretch taken up by the muscle series elastic element allows only m. rectus femoris to work closer to its optimal length, due to its force length properties. Therefore the contribution of the series elastic element to muscle performance in maximum height drop jumping is to store and return energy, and at the same time to increase the force producing ability of the contractile elements during push-off.

Mesh Headings (Keywords): Biomechanics, Computer Simulation, Elasticity, Hip Joint, Humans, Knee Joint, Leg, Movement, Muscle Contraction, Muscle, Skeletal, Rotation, Stress, Mechanical, Tendons, Weight-Bearing


Check for Full Text / PubMed Unique Identifier (PMID): 16760562


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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