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Risk-Based Assessment Engineering of a Parallel Robot Used in Post-Stroke Upper Limb Rehabilitation

Author

Listed:
  • Paul Tucan

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

  • Calin Vaida

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

  • Nicolae Plitea

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

  • Adrian Pisla

    (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

Recently, robotic-assisted stroke rehabilitation became an important research topic due to its capability to provide complex solutions to perform the customized rehabilitation motion with enhanced resources than the traditional rehabilitation. Involving robotic devices in the rehabilitation process would increase the number of possible rehabilitated patients, but placing the patient inside the workspace of the robot causes a series of risks that needs to be identified, analyzed and avoided. The goal of this work is to provide a reliable solution for an upper limb rehabilitation robotic structure designed as a result of a risk assessment process. The proposed approach implies a hazard identification process in terms of severity and probability, a failure mode and effects analysis to identify the possible malfunctions in the system and an AHP (Analytic Hierarchy Process) to prioritize the technical characteristics of the robotic structure. The results of the risk assessment process and of the AHP provide the base of the final design of the robotic structure, while another solution, in terms of minimizing the risk for the patient injury, is obtained using an external measuring system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2893-:d:233169
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    References listed on IDEAS

    as
    1. Jörg Niemann & Adrian Pisla, 2018. "Sustainable Potentials and Risks Assess in Automation and Robotization Using the Life Cycle Management Index Tool—LY-MIT," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
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    Cited by:

    1. Paul Tucan & Calin Vaida & Ionut Ulinici & Alexandru Banica & Alin Burz & Nicoleta Pop & Iosif Birlescu & Bogdan Gherman & Nicolae Plitea & Tiberiu Antal & Giuseppe Carbone & Doina Pisla, 2021. "Optimization of the ASPIRE Spherical Parallel Rehabilitation Robot Based on Its Clinical Evaluation," IJERPH, MDPI, vol. 18(6), pages 1-19, March.
    2. Zoltán Zsigmond Major & Calin Vaida & Kinga Andrea Major & Paul Tucan & Gábor Simori & Alexandru Banica & Emanuela Brusturean & Alin Burz & Raul Craciunas & Ionut Ulinici & Giuseppe Carbone & Bogdan G, 2020. "The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    3. 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.

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