Literature DB >> 19647825

Effective leg stiffness in running.

Yvonne Blum1, Susanne W Lipfert, Andre Seyfarth.   

Abstract

Leg stiffness is a common parameter used to characterize leg function during bouncing gaits, like running and hopping. In the literature, different methods to approximate leg stiffness based on kinetic and kinematic parameters are described. A challenging point in estimating leg stiffness is the definition of leg compression during contact. In this paper four methods (methods A-D) based on ground reaction forces (GRF) and one method (method E) relying on temporal parameters are described. Leg stiffness calculated by these five methods is compared with running patterns, predicted by the spring mass model. The best and simplest approximation of leg stiffness is method E. It requires only easily accessible parameters (contact time, flight time, resting leg length, body mass and the leg's touch down angle). Method D is of similar quality but additionally requires the time-dependent progression of the GRF. The other three methods show clear differences from the model predictions by over- or underestimating leg stiffness, especially at slow speeds. Leg stiffness is derived from a conceptual model of legged locomotion and does not exist without this model. Therefore, it is important to prove which experimental method is suited best for approximating the stiffness in a specific task. This will help to interpret the predictions of the conceptual model in comparison with experimental data.

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Year:  2009        PMID: 19647825     DOI: 10.1016/j.jbiomech.2009.06.040

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


  9 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.  Running with a load increases leg stiffness.

Authors:  Amy Silder; Thor Besier; Scott L Delp
Journal:  J Biomech       Date:  2015-02-07       Impact factor: 2.712

3.  Lower limb mechanical properties: significant references omitted.

Authors:  Jean-Benoit Morin; Olivier Girard; Jean Slawinski; Giuseppe Rabita; Georges Dalleau; Matt Brughelli
Journal:  Sports Med       Date:  2013-02       Impact factor: 11.136

4.  Spring-like leg behaviour, musculoskeletal mechanics and control in maximum and submaximum height human hopping.

Authors:  Maarten F Bobbert; L J Richard Casius
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-27       Impact factor: 6.237

Review 5.  Human and avian running on uneven ground: a model-based comparison.

Authors:  R Müller; A V Birn-Jeffery; Y Blum
Journal:  J R Soc Interface       Date:  2016-09       Impact factor: 4.118

6.  Scaling of the spring in the leg during bouncing gaits of mammals.

Authors:  David V Lee; Michael R Isaacs; Trevor E Higgins; Andrew A Biewener; Craig P McGowan
Journal:  Integr Comp Biol       Date:  2014-10-09       Impact factor: 3.326

7.  The foot and ankle structures reveal emergent properties analogous to passive springs during human walking.

Authors:  Erica A Hedrick; Steven J Stanhope; Kota Z Takahashi
Journal:  PLoS One       Date:  2019-06-07       Impact factor: 3.240

8.  One hundred marathons in 100 days: Unique biomechanical signature and the evolution of force characteristics and bone density.

Authors:  Pieter Van den Berghe; Bastiaan Breine; Ella Haeck; Dirk De Clercq
Journal:  J Sport Health Sci       Date:  2021-03-26       Impact factor: 13.077

9.  Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Authors:  Jonathan Oehlke; Philipp Beckerle; André Seyfarth; Maziar A Sharbafi
Journal:  Biol Cybern       Date:  2018-10-28       Impact factor: 2.086

  9 in total

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