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Laboratory Experiences with an Intelligent Robotic Crank for Arm Exercises

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Artificial Intelligence in Healthcare (AIiH 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14975))

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Abstract

The evolution of the prototype for upper limb rehabilitation is presented. The proposed device consists of a robotic crank that measures the force applied to the knob and the acceleration and angular velocity of the crank in three directions during the arm action. By analyzing these motion data, the device can evaluate exercise quality and suggest different exercises to be performed, according to the planned arm mobility. The results reported in this paper demonstrate simplicity and effectiveness of the device by means of a test protocol for an exercise in which an individual is seated in front of the used testbed. The device is discussed as successfully capable of recording also small variations indicating differences in the arm behavior. Future plans will include more tests with a proper testing campaign of statistical significance while in the paper only the feasibility is discussed with just one volunteer.

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Acknowledgments

The first author wishes to gratefully acknowledge 2023 mobility research program of Polytechnic School of the Carlos III University of Madrid that has permitted her a period of research at LARM2 in Rome in the year 2023.

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Authors and Affiliations

  1. Institute for Vehicles Safety Assurance, Department of Mechanical Engineering, University Carlos III of Madrid, 28911, Madrid, Spain

    Susana Sanz & Vicente Díaz

  2. Laboratory of Robot Mechatronics, Department of Industrial Engineering, University of Rome Tor Vergata, 00133, Rome, Italy

    Matteo Russo & Marco Ceccarelli

Authors
  1. Susana Sanz
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  2. Matteo Russo
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  3. Vicente Díaz
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  4. Marco Ceccarelli
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Corresponding author

Correspondence to Susana Sanz .

Editor information

Editors and Affiliations

  1. Swansea University, Swansea, UK

    Xianghua Xie

  2. Queen's University, Belfast, UK

    Iain Styles

  3. Swansea University, Swansea, UK

    Gibin Powathil

  4. University of Rome Tor Vergata, Rome, Italy

    Marco Ceccarelli

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Sanz, S., Russo, M., Díaz, V., Ceccarelli, M. (2024). Laboratory Experiences with an Intelligent Robotic Crank for Arm Exercises. In: Xie, X., Styles, I., Powathil, G., Ceccarelli, M. (eds) Artificial Intelligence in Healthcare. AIiH 2024. Lecture Notes in Computer Science, vol 14975. Springer, Cham. https://doi.org/10.1007/978-3-031-67278-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-67278-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-67277-4

  • Online ISBN: 978-3-031-67278-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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