Literature DB >> 31395676

Connecting the legs with a spring improves human running economy.

Cole S Simpson1, Cara G Welker1,2, Scott D Uhlrich1, Sean M Sketch1, Rachel W Jackson2, Scott L Delp1,2, Steve H Collins1, Jessica C Selinger3,4, Elliot W Hawkes5.   

Abstract

Human running is inefficient. For every 10 calories burned, less than 1 is needed to maintain a constant forward velocity - the remaining energy is, in a sense, wasted. The majority of this wasted energy is expended to support the bodyweight and redirect the center of mass during the stance phase of gait. An order of magnitude less energy is expended to brake and accelerate the swinging leg. Accordingly, most devices designed to increase running efficiency have targeted the costlier stance phase of gait. An alternative approach is seen in nature: spring-like tissues in some animals and humans are believed to assist leg swing. While it has been assumed that such a spring simply offloads the muscles that swing the legs, thus saving energy, this mechanism has not been experimentally investigated. Here, we show that a spring, or 'exotendon', connecting the legs of a human reduces the energy required for running by 6.4±2.8%, and does so through a complex mechanism that produces savings beyond those associated with leg swing. The exotendon applies assistive forces to the swinging legs, increasing the energy optimal stride frequency. Runners then adopt this frequency, taking faster and shorter strides, and reduce the joint mechanical work to redirect their center of mass. Our study shows how a simple spring improves running economy through a complex interaction between the changing dynamics of the body and the adaptive strategies of the runner, highlighting the importance of considering each when designing systems that couple human and machine.
© 2019. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Assistive device; Biomechanics; Energetic cost; Gait; Metabolic cost; Stride frequency

Mesh:

Year:  2019        PMID: 31395676      PMCID: PMC6765174          DOI: 10.1242/jeb.202895

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  43 in total

1.  Unmatched perception of speed when running overground and on a treadmill.

Authors:  Pui W Kong; Tze M C Koh; Wei C R Tan; Yu S Wang
Journal:  Gait Posture       Date:  2012-02-20       Impact factor: 2.840

2.  Mechanics and energetics of swinging the human leg.

Authors:  Jiro Doke; J Maxwell Donelan; Arthur D Kuo
Journal:  J Exp Biol       Date:  2005-02       Impact factor: 3.312

3.  OpenSim: open-source software to create and analyze dynamic simulations of movement.

Authors:  Scott L Delp; Frank C Anderson; Allison S Arnold; Peter Loan; Ayman Habib; Chand T John; Eran Guendelman; Darryl G Thelen
Journal:  IEEE Trans Biomed Eng       Date:  2007-11       Impact factor: 4.538

4.  Energetically optimal stride frequency in running: the effects of incline and decline.

Authors:  Kristine L Snyder; Claire T Farley
Journal:  J Exp Biol       Date:  2011-06-15       Impact factor: 3.312

5.  The Biomechanics of Competitive Male Runners in Three Marathon Racing Shoes: A Randomized Crossover Study.

Authors:  Wouter Hoogkamer; Shalaya Kipp; Rodger Kram
Journal:  Sports Med       Date:  2019-01       Impact factor: 11.136

6.  Lower-limb muscular strategies for increasing running speed.

Authors:  Anthony G Schache; Tim W Dorn; Gavin P Williams; Nicholas A T Brown; Marcus G Pandy
Journal:  J Orthop Sports Phys Ther       Date:  2014-08-07       Impact factor: 4.751

7.  Derivation of formulae used to calculate energy expenditure in man.

Authors:  J M Brockway
Journal:  Hum Nutr Clin Nutr       Date:  1987-11

8.  Storage of elastic strain energy in muscle and other tissues.

Authors:  R M Alexander; H C Bennet-Clark
Journal:  Nature       Date:  1977-01-13       Impact factor: 49.962

9.  Effects of wind assistance and resistance on the forward motion of a runner.

Authors:  C T Davies
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1980-04

10.  Human-in-the-loop optimization of exoskeleton assistance during walking.

Authors:  Juanjuan Zhang; Pieter Fiers; Kirby A Witte; Rachel W Jackson; Katherine L Poggensee; Christopher G Atkeson; Steven H Collins
Journal:  Science       Date:  2017-06-23       Impact factor: 47.728

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  9 in total

1.  Biomechanical and Physiological Evaluation of a Multi-Joint Exoskeleton with Active-Passive Assistance for Walking.

Authors:  Wujing Cao; Zhewen Zhang; Chunjie Chen; Yong He; Dashuai Wang; Xinyu Wu
Journal:  Biosensors (Basel)       Date:  2021-10-15

2.  Characterizing the relationship between peak assistance torque and metabolic cost reduction during running with ankle exoskeletons.

Authors:  Delaney E Miller; Guan Rong Tan; Emily M Farina; Alison L Sheets-Singer; Steven H Collins
Journal:  J Neuroeng Rehabil       Date:  2022-05-12       Impact factor: 5.208

3.  Competing Models of Work in Quadrupedal Walking: Center of Mass Work is Insufficient to Explain Stereotypical Gait.

Authors:  Delyle T Polet; John E A Bertram
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

4.  Passive-elastic knee-ankle exoskeleton reduces the metabolic cost of walking.

Authors:  Ettore Etenzi; Riccardo Borzuola; Alena M Grabowski
Journal:  J Neuroeng Rehabil       Date:  2020-07-27       Impact factor: 4.262

5.  Reducing the energy cost of walking in older adults using a passive hip flexion device.

Authors:  Fausto A Panizzolo; Chiara Bolgiani; Laura Di Liddo; Eugenio Annese; Giuseppe Marcolin
Journal:  J Neuroeng Rehabil       Date:  2019-10-15       Impact factor: 4.262

6.  Gearing Up the Human Ankle-Foot System to Reduce Energy Cost of Fast Walking.

Authors:  Samuel F Ray; Kota Z Takahashi
Journal:  Sci Rep       Date:  2020-05-29       Impact factor: 4.379

Review 7.  The exoskeleton expansion: improving walking and running economy.

Authors:  Gregory S Sawicki; Owen N Beck; Inseung Kang; Aaron J Young
Journal:  J Neuroeng Rehabil       Date:  2020-02-19       Impact factor: 4.262

8.  Reducing the metabolic energy of walking and running using an unpowered hip exoskeleton.

Authors:  Tiancheng Zhou; Caihua Xiong; Juanjuan Zhang; Di Hu; Wenbin Chen; Xiaolin Huang
Journal:  J Neuroeng Rehabil       Date:  2021-06-06       Impact factor: 4.262

Review 9.  Review of control strategies for lower-limb exoskeletons to assist gait.

Authors:  Romain Baud; Ali Reza Manzoori; Auke Ijspeert; Mohamed Bouri
Journal:  J Neuroeng Rehabil       Date:  2021-07-27       Impact factor: 4.262

  9 in total

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