Literature DB >> 26817449

Biomechanical walking mechanisms underlying the metabolic reduction caused by an autonomous exoskeleton.

Luke M Mooney1, Hugh M Herr2.   

Abstract

BACKGROUND: Ankle exoskeletons can now reduce the metabolic cost of walking in humans without leg disability, but the biomechanical mechanisms that underlie this augmentation are not fully understood. In this study, we analyze the energetics and lower limb mechanics of human study participants walking with and without an active autonomous ankle exoskeleton previously shown to reduce the metabolic cost of walking.
METHODS: We measured the metabolic, kinetic and kinematic effects of wearing a battery powered bilateral ankle exoskeleton. Six participants walked on a level treadmill at 1.4 m/s under three conditions: exoskeleton not worn, exoskeleton worn in a powered-on state, and exoskeleton worn in a powered-off state. Metabolic rates were measured with a portable pulmonary gas exchange unit, body marker positions with a motion capture system, and ground reaction forces with a force-plate instrumented treadmill. Inverse dynamics were then used to estimate ankle, knee and hip torques and mechanical powers.
RESULTS: The active ankle exoskeleton provided a mean positive power of 0.105 ± 0.008 W/kg per leg during the push-off region of stance phase. The net metabolic cost of walking with the active exoskeleton (3.28 ± 0.10 W/kg) was an 11 ± 4 % (p = 0.019) reduction compared to the cost of walking without the exoskeleton (3.71 ± 0.14 W/kg). Wearing the ankle exoskeleton significantly reduced the mean positive power of the ankle joint by 0.033 ± 0.006 W/kg (p = 0.007), the knee joint by 0.042 ± 0.015 W/kg (p = 0.020), and the hip joint by 0.034 ± 0.009 W/kg (p = 0.006).
CONCLUSIONS: This study shows that the ankle exoskeleton does not exclusively reduce positive mechanical power at the ankle joint, but also mitigates positive power at the knee and hip. Furthermore, the active ankle exoskeleton did not simply replace biological ankle function in walking, but rather augmented the total (biological + exoskeletal) ankle moment and power. This study underscores the need for comprehensive models of human-exoskeleton interaction and global optimization methods for the discovery of new control strategies that optimize the physiological impact of leg exoskeletons.

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Year:  2016        PMID: 26817449      PMCID: PMC4730720          DOI: 10.1186/s12984-016-0111-3

Source DB:  PubMed          Journal:  J Neuroeng Rehabil        ISSN: 1743-0003            Impact factor:   4.262


  18 in total

1.  An exoskeleton using controlled energy storage and release to aid ankle propulsion.

Authors:  M Bruce Wiggin; Gregory S Sawicki; Steven H Collins
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Leg exoskeleton reduces the metabolic cost of human hopping.

Authors:  Alena M Grabowski; Hugh M Herr
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3.  Uphill walking with a simple exoskeleton: plantarflexion assistance leads to proximal adaptations.

Authors:  S Galle; P Malcolm; W Derave; D De Clercq
Journal:  Gait Posture       Date:  2014-10-23       Impact factor: 2.840

4.  An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons.

Authors:  Rachel W Jackson; Steven H Collins
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Authors:  J M Brockway
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Authors:  Gregory S Sawicki; Daniel P Ferris
Journal:  J Exp Biol       Date:  2008-05       Impact factor: 3.312

7.  A PHYSIOLOGIST'S PERSPECTIVE ON ROBOTIC EXOSKELETONS FOR HUMAN LOCOMOTION.

Authors:  Daniel P Ferris; Gregory S Sawicki; Monica A Daley
Journal:  Int J HR       Date:  2007-09       Impact factor: 1.616

8.  A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking.

Authors:  Philippe Malcolm; Wim Derave; Samuel Galle; Dirk De Clercq
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

9.  Prosthetic ankle push-off work reduces metabolic rate but not collision work in non-amputee walking.

Authors:  Joshua M Caputo; Steven H Collins
Journal:  Sci Rep       Date:  2014-12-03       Impact factor: 4.379

10.  Autonomous exoskeleton reduces metabolic cost of human walking during load carriage.

Authors:  Luke M Mooney; Elliott J Rouse; Hugh M Herr
Journal:  J Neuroeng Rehabil       Date:  2014-05-09       Impact factor: 4.262

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  46 in total

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Authors:  Martin Grimmer; Brendan T Quinlivan; Sangjun Lee; Philippe Malcolm; Denise Martineli Rossi; Christopher Siviy; Conor J Walsh
Journal:  J Biomech       Date:  2018-11-20       Impact factor: 2.712

2.  Optimizing Exoskeleton Assistance for Faster Self-Selected Walking.

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-05-03       Impact factor: 3.802

3.  Evaluating physiological signal salience for estimating metabolic energy cost from wearable sensors.

Authors:  Kimberly A Ingraham; Daniel P Ferris; C David Remy
Journal:  J Appl Physiol (1985)       Date:  2019-01-10

4.  Predicting walking response to ankle exoskeletons using data-driven models.

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Journal:  J R Soc Interface       Date:  2020-10-14       Impact factor: 4.118

5.  Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth.

Authors:  Shuangyue Yu; Tzu-Hao Huang; Xiaolong Yang; Chunhai Jiao; Jianfu Yang; Yue Chen; Jingang Yi; Hao Su
Journal:  IEEE ASME Trans Mechatron       Date:  2020-05-18       Impact factor: 5.303

6.  Closing the Loop on Exoskeleton Motor Controllers: Benefits of Regression-Based Open-Loop Control.

Authors:  Greg Orekhov; Jason Luque; Zachary F Lerner
Journal:  IEEE Robot Autom Lett       Date:  2020-07-22

7.  Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

Authors:  Jinsoo Kim; Brendan T Quinlivan; Lou-Ana Deprey; Dheepak Arumukhom Revi; Asa Eckert-Erdheim; Patrick Murphy; Dorothy Orzel; Conor J Walsh
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

8.  Individualization of exosuit assistance based on measured muscle dynamics during versatile walking.

Authors:  R W Nuckols; S Lee; K Swaminathan; D Orzel; R D Howe; C J Walsh
Journal:  Sci Robot       Date:  2021-11-10

9.  A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking.

Authors:  Fausto A Panizzolo; Ignacio Galiana; Alan T Asbeck; Christopher Siviy; Kai Schmidt; Kenneth G Holt; Conor J Walsh
Journal:  J Neuroeng Rehabil       Date:  2016-05-12       Impact factor: 4.262

10.  Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

Authors:  Andrew J Meyer; Ilan Eskinazi; Jennifer N Jackson; Anil V Rao; Carolynn Patten; Benjamin J Fregly
Journal:  Front Bioeng Biotechnol       Date:  2016-10-13
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