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Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation

Author

Listed:
  • Paul Tucan

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Bogdan Gherman

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Kinga Major

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Calin Vaida

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Zoltan Major

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
    Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania)

  • Nicolae Plitea

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Giuseppe Carbone

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
    DIMEG, University of Calabria, 87036 Cosenza, Italy)

  • Doina Pisla

    (CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

Abstract

A few decades ago, robotics started to be implemented in the medical field, especially in the rehabilitation of patients with different neurological diseases that have led to neuromuscular disorders. The main concern regarding medical robots is their safety assurance in the medical environment. The goal of this paper is to assess the risk of a medical robotic system for elbow and wrist rehabilitation in terms of robot and patient safety. The approached risk assessment follows the ISO12100:2010 risk management chart in order to determine, identify, estimate, and evaluate the possible risk that can occur during the use of the robotic system. The result of the risk assessment process is further analyzed using a fuzzy logic system in order to determine the safety degree conferred during the use of the robotic system. The innovative process concerning the risk assessment allows the achievement of a reliable medical robotic system both for the patient and the clinicians as well. The clinical trials performed on a group of 18 patients validated the functionality and the safe behavior of the robotic system.

Suggested Citation

  • Paul Tucan & Bogdan Gherman & Kinga Major & Calin Vaida & Zoltan Major & Nicolae Plitea & Giuseppe Carbone & Doina Pisla, 2020. "Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:654-:d:310757
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    References listed on IDEAS

    as
    1. Paul Tucan & Calin Vaida & Nicolae Plitea & Adrian Pisla & Giuseppe Carbone & Doina Pisla, 2019. "Risk-Based Assessment Engineering of a Parallel Robot Used in Post-Stroke Upper Limb Rehabilitation," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
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