Literature DB >> 1778902

Hopping frequency in humans: a test of how springs set stride frequency in bouncing gaits.

C T Farley1, R Blickhan, J Saito, C R Taylor.   

Abstract

The storage and recovery of elastic energy in muscle-tendon springs is important in running, hopping, trotting, and galloping. We hypothesized that animals select the stride frequency at which they behave most like simple spring-mass systems. If higher or lower frequencies are used, they will not behave like simple spring-mass systems, and the storage and recovery of elastic energy will be reduced. We tested the hypothesis by having humans hop forward on a treadmill over a range of speeds and hop in place over a range of frequencies. The body was modeled as a simple spring-mass system, and the properties of the spring were measured by use of a force platform. Our subjects used nearly the same frequency (the "preferred frequency," 2.2 hops/s) when they hopped forward on a treadmill and when they hopped in place. At this frequency, the body behaved like a simple spring-mass system. Contrary to our predictions, it also behaved like a simple spring-mass system when the subjects hopped at higher frequencies, up to the maximum they could achieve. However, at the higher frequencies, the time available to apply force to the ground (the ground contact time) was shorter, perhaps resulting in a higher cost of generating muscular force. At frequencies below the preferred frequency, as predicted by the hypothesis, the body did not behave in a springlike manner, and it appeared likely that the storage and recovery of elastic energy was reduced. The combination of springlike behavior and a long ground contact time at the preferred frequency should minimize the cost of generating muscular force.

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Year:  1991        PMID: 1778902     DOI: 10.1152/jappl.1991.71.6.2127

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  60 in total

1.  Positive force feedback in bouncing gaits?

Authors:  Hartmut Geyer; Andre Seyfarth; Reinhard Blickhan
Journal:  Proc Biol Sci       Date:  2003-10-22       Impact factor: 5.349

2.  Physiological coxa varus-genu valgus influences internal knee and ankle joint moments in females during crossover cutting.

Authors:  J A Nyland; D N M Caborn
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2003-11-15       Impact factor: 4.342

3.  Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping.

Authors:  D F B Haeufle; S Grimmer; K-T Kalveram; A Seyfarth
Journal:  J R Soc Interface       Date:  2012-01-04       Impact factor: 4.118

4.  The trampoline aftereffect: the motor and sensory modulations associated with jumping on an elastic surface.

Authors:  Gonzalo Márquez; Xavier Aguado; Luis M Alegre; Angel Lago; Rafael M Acero; Miguel Fernández-del-Olmo
Journal:  Exp Brain Res       Date:  2010-06-17       Impact factor: 1.972

5.  A Simple Model to Estimate Plantarflexor Muscle-Tendon Mechanics and Energetics During Walking With Elastic Ankle Exoskeletons.

Authors:  Gregory S Sawicki; Nabil S Khan
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-15       Impact factor: 4.538

6.  A new approach to modeling vertical stiffness in heel-toe distance runners.

Authors:  Iain Hunter
Journal:  J Sports Sci Med       Date:  2003-12-01       Impact factor: 2.988

7.  Central pattern generators for bipedal locomotion.

Authors:  Carla M A Pinto; Martin Golubitsky
Journal:  J Math Biol       Date:  2006-07-28       Impact factor: 2.259

8.  Sensorimotor system measurement techniques.

Authors:  Bryan L Riemann; Joseph B Myers; Scott M Lephart
Journal:  J Athl Train       Date:  2002-01       Impact factor: 2.860

9.  Joint-level kinetic redundancy is exploited to control limb-level forces during human hopping.

Authors:  Jasper T Yen; Arick G Auyang; Young-Hui Chang
Journal:  Exp Brain Res       Date:  2009-06-04       Impact factor: 1.972

Review 10.  Proprioceptive feedback and preferred patterns of human movement.

Authors:  Jesse C Dean
Journal:  Exerc Sport Sci Rev       Date:  2013-01       Impact factor: 6.230

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