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      A simple model to estimate plantarflexor muscle-tendon mechanics and energetics during walking with elastic ankle exoskeletons

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          Abstract

          Goal

          A recent experiment demonstrated that when humans wear unpowered elastic ankle exoskeletons with intermediate spring stiffness they can reduce their metabolic energy cost to walk by ~7%. Springs that are too compliant or too stiff have little benefit. The purpose of this study was to use modeling and simulation to explore the muscle-level mechanisms for the ‘sweet-spot’ in stiffness during exoskeleton assisted walking.

          Methods

          We developed a simple lumped, uniarticular musculoskeletal model of the plantarflexors operating in parallel with an elastic ‘exo-tendon’. Using an inverse approach with constrained kinematics and kinetics, we rapidly simulated human walking over a range of exoskeleton stiffness values and examined the underlying neuromechanics and energetics of the biological plantarflexors.

          Results

          Stiffer ankle exoskeleton springs resulted in larger decreases in plantarflexor muscle forces, activations and metabolic energy consumption. However, in the process of unloading the compliant biological muscle-tendon unit (MTU), the muscle fascicles (CE) experienced larger excursions that negatively impacted series elastic element (SEE) recoil that is characteristic of a tuned ‘catapult mechanism’.

          Conclusion

          The combination of disrupted muscle-tendon dynamics and the need to produce compensatory forces/moments to maintain overall net ankle moment invariance could explain the ‘sweet spot’ in metabolic performance at intermediate ankle exoskeleton stiffness. Future work will aim to provide experimental evidence to support the model predictions presented here using ultrasound imaging of muscle-level dynamics during walking with elastic ankle exoskeletons.

          Significance

          Engineers must account for the muscle-level effects of exoskeleton designs in order to achieve maximal performance objectives.

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          Author and article information

          Contributors
          Journal
          0012737
          4157
          IEEE Trans Biomed Eng
          IEEE Trans Biomed Eng
          IEEE transactions on bio-medical engineering
          0018-9294
          1558-2531
          7 May 2016
          15 October 2015
          May 2016
          01 May 2017
          : 63
          : 5
          : 914-923
          Affiliations
          Joint Department of Biomedical Engineering-North Carolina State University and the University of North Carolina-Chapel Hill, Raleigh, NC 27695 USA
          Graduate student in the Joint Department of BME-NC State and the UNC-Chapel Hill, Raleigh, NC 27695 USA. He is now an Embedded Software Engineer at Anuva Innovations, Inc., a medical device development company in the Research Triangle Park, NC USA
          Article
          PMC4874912 PMC4874912 4874912 nihpa780806
          10.1109/TBME.2015.2491224
          4874912
          26485350
          d743a5e4-f2ec-465e-8778-8e1dc5df2132
          History
          Categories
          Article

          metabolic cost,muscle-tendon dynamics,plantarflexors,human walking,ankle exoskeleton,computer simulation,elastic energy storage,energetics,Hill-type muscle model

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