Literature DB >> 16082017

A simple method for measuring stiffness during running.

Jean Benoît Morin1, Georges Dalleau, Heikki Kyröläinen, Thibault Jeannin, Alain Belli.   

Abstract

The spring-mass model, representing a runner as a point mass supported by a single linear leg spring, has been a widely used concept in studies on running and bouncing mechanics. However, the measurement of leg and vertical stiffness has previously required force platforms and high-speed kinematic measurement systems that are costly and difficult to handle in field conditions. We propose a new "sine-wave" method for measuring stiffness during running. Based on the modeling of the force-time curve by a sine function,this method allows leg and vertical stiffness to be estimated from just a few simple mechanical parameters: body mass, forward velocity, leg length, flight time, and contact time. We compared this method to force-platform-derived stiffness measurements for treadmill dynamometer and overground running conditions, at velocities ranging from 3.33 m.s-1 to maximal running velocity in both recreational and highly trained runners. Stiffness values calculated with the proposed method ranged from 0.67 % to 6.93 % less than the force platform method, and thus were judged to be acceptable. Furthermore, significant linear regressions (p < 0.01) close to the identity line were obtained between force platform and sine-wave model values of stiffness. Given the limits inherent in the use of the spring-mass model, it was concluded that this sine-wave method allows leg and stiffness estimates in running on the basis of a few mechanical parameters, and could be useful in further field measurements.

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Year:  2005        PMID: 16082017     DOI: 10.1123/jab.21.2.167

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  51 in total

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

Authors:  Massimo Sartori; Marco Maculan; Claudio Pizzolato; Monica Reggiani; Dario Farina
Journal:  J Neurophysiol       Date:  2015-08-05       Impact factor: 2.714

2.  Preferred and optimal stride frequency, stiffness and economy: changes with fatigue during a 1-h high-intensity run.

Authors:  Iain Hunter; Gerald A Smith
Journal:  Eur J Appl Physiol       Date:  2007-06-30       Impact factor: 3.078

3.  The mechanics of jumping over an obstacle during running: a comparison between athletes trained to hurdling and recreational runners.

Authors:  G Mauroy; B Schepens; P A Willems
Journal:  Eur J Appl Physiol       Date:  2014-01-05       Impact factor: 3.078

4.  Effects of muscular biopsy on the mechanics of running.

Authors:  Jean-Benoit Morin; Pierre Samozino; Léonard Féasson; André Geyssant; Guillaume Millet
Journal:  Eur J Appl Physiol       Date:  2008-10-08       Impact factor: 3.078

5.  Sprinter's motor signature does not change with fatigue.

Authors:  Mohamed-Amine Choukou; Guillaume Laffaye; Anne-Marie Heugas-De Panafieu
Journal:  Eur J Appl Physiol       Date:  2011-08-19       Impact factor: 3.078

6.  Repeated sprinting on natural grass impairs vertical stiffness but does not alter plantar loading in soccer players.

Authors:  Olivier Girard; Sébastien Racinais; Luke Kelly; Grégoire P Millet; Franck Brocherie
Journal:  Eur J Appl Physiol       Date:  2011-03-03       Impact factor: 3.078

7.  Neuro-mechanical and metabolic adjustments to the repeated anaerobic sprint test in professional football players.

Authors:  Franck Brocherie; Gregoire P Millet; Olivier Girard
Journal:  Eur J Appl Physiol       Date:  2014-12-07       Impact factor: 3.078

Review 8.  Walking and running on treadmill: the standard criteria for kinematics studies.

Authors:  Johnny Padulo; Karim Chamari; Luca Paolo Ardigò
Journal:  Muscles Ligaments Tendons J       Date:  2014-07-14

9.  How do prosthetic stiffness, height and running speed affect the biomechanics of athletes with bilateral transtibial amputations?

Authors:  Owen N Beck; Paolo Taboga; Alena M Grabowski
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

10.  Step time asymmetry increases metabolic energy expenditure during running.

Authors:  Owen N Beck; Eric N Azua; Alena M Grabowski
Journal:  Eur J Appl Physiol       Date:  2018-07-19       Impact factor: 3.078

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