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Article

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

1
CESTER, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
2
Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania
3
DIMEG, University of Calabria, 87036 Cosenza, Italy
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(2), 654; https://doi.org/10.3390/ijerph17020654
Received: 29 November 2019 / Revised: 7 January 2020 / Accepted: 17 January 2020 / Published: 19 January 2020
(This article belongs to the Special Issue Application of Robotic Devices for Neurologic Rehabilitation)
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. View Full-Text
Keywords: robotic rehabilitation; stroke rehabilitation; risk assessment; safety assurance; robot design; fuzzy logic robotic rehabilitation; stroke rehabilitation; risk assessment; safety assurance; robot design; fuzzy logic
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MDPI and ACS Style

Tucan, P.; Gherman, B.; Major, K.; Vaida, C.; Major, Z.; Plitea, N.; Carbone, G.; Pisla, D. Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation. Int. J. Environ. Res. Public Health 2020, 17, 654. https://doi.org/10.3390/ijerph17020654

AMA Style

Tucan P, Gherman B, Major K, Vaida C, Major Z, Plitea N, Carbone G, Pisla D. Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation. International Journal of Environmental Research and Public Health. 2020; 17(2):654. https://doi.org/10.3390/ijerph17020654

Chicago/Turabian Style

Tucan, Paul, Bogdan Gherman, Kinga Major, Calin Vaida, Zoltan Major, Nicolae Plitea, Giuseppe Carbone, and Doina Pisla. 2020. "Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation" International Journal of Environmental Research and Public Health 17, no. 2: 654. https://doi.org/10.3390/ijerph17020654

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