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An EMG-informed Model to Evaluate Assistance of the Biomot Compliant Ankle Actuator

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Wearable Robotics: Challenges and Trends

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 16))

Abstract

A main concern that rises when developing active orthoses is how to actively engage the users and monitor how they are affected by the devices. Through EMG-informed neuromusculoskeletal modeling, it is possible to estimate users’ muscle contributions to joint moments generation. We present preliminary results about the application of such models to a subject wearing the BioMot ankle actuator.

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References

  1. Tucker, M.R., et al.: Control strategies for active lower extremity prosthetics and orthotics: a review. J. NeuroEngineering Rehabil. 12(1) (2015)

    Google Scholar 

  2. Van Ham, R., Vanderborght, B., Van Damme, M., Verrelst, B., Lefeber, D.: MACCEPA, the mechanically adjustable compliance and controllable equilibrium position actuator: design and implementation in a biped robot. Robot. Auton. Syst. 55(10), 8–761 (2007)

    Google Scholar 

  3. Pizzolato, C., et al.: CEINMS: a toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks. J. Biomech. 48(14), 39293936 (2015)

    Article  Google Scholar 

  4. Ceseracciu, E. et al.: A flexible architecture to enhance wearable robots: integration of EMG-informed models. In: International Conference on Intelligent Robots and Systems (IROS 2015)

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Acknowledgments

This research has been supported by EU-F7 grant BioMot (project no. 611695).

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Authors and Affiliations

  1. Department of Management and Engineering, University of Padua, Vicenza, Italy

    Elena Ceseracciu, Luca Tagliapietra & Monica Reggiani

  2. Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council, Madrid, Spain

    Juan C. Moreno & Guillermo Asin

  3. Biomechanics and Technical Aids Department, National Hospital for Paraplegics, Toledo, Spain

    Antonio J. del-Ama, Soraya Pérez, Elisa Piñuela & Ángel Gil

Authors
  1. Elena Ceseracciu
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  2. Luca Tagliapietra
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  3. Juan C. Moreno
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  4. Guillermo Asin
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  5. Antonio J. del-Ama
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  6. Soraya Pérez
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  7. Elisa Piñuela
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  8. Ángel Gil
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  9. Monica Reggiani
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Corresponding author

Correspondence to Monica Reggiani .

Editor information

Editors and Affiliations

  1. Spanish National Research Council, Cajal Institute Spanish National Research Council, Madrid, Spain

    José González-Vargas

  2. Spanish National Research Council, Cajal Institute Spanish National Research Council, Madrid, Spain

    Jaime Ibáñez

  3. Cullen College of Engineering, University of Houston Cullen College of Engineering, Houston, Texas, USA

    Jose L. Contreras-Vidal

  4. University of Twente , Enschede, The Netherlands

    Herman van der Kooij

  5. Spanish National Research Council, Cajal Institute Spanish National Research Council, Madrid, Spain

    José Luis Pons

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Ceseracciu, E. et al. (2017). An EMG-informed Model to Evaluate Assistance of the Biomot Compliant Ankle Actuator. In: González-Vargas, J., Ibáñez, J., Contreras-Vidal, J., van der Kooij, H., Pons, J. (eds) Wearable Robotics: Challenges and Trends. Biosystems & Biorobotics, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-46532-6_43

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  • DOI: https://doi.org/10.1007/978-3-319-46532-6_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46531-9

  • Online ISBN: 978-3-319-46532-6

  • eBook Packages: EngineeringEngineering (R0)

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