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Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist 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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013898/ https://www.ncbi.nlm.nih.gov/pubmed/31963917 http://dx.doi.org/10.3390/ijerph17020654 |
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author | Tucan, Paul Gherman, Bogdan Major, Kinga Vaida, Calin Major, Zoltan Plitea, Nicolae Carbone, Giuseppe Pisla, Doina |
author_facet | Tucan, Paul Gherman, Bogdan Major, Kinga Vaida, Calin Major, Zoltan Plitea, Nicolae Carbone, Giuseppe Pisla, Doina |
author_sort | Tucan, Paul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7013898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70138982020-03-09 Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation Tucan, Paul Gherman, Bogdan Major, Kinga Vaida, Calin Major, Zoltan Plitea, Nicolae Carbone, Giuseppe Pisla, Doina Int J Environ Res Public Health Article 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. MDPI 2020-01-19 2020-01 /pmc/articles/PMC7013898/ /pubmed/31963917 http://dx.doi.org/10.3390/ijerph17020654 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tucan, Paul Gherman, Bogdan Major, Kinga Vaida, Calin Major, Zoltan Plitea, Nicolae Carbone, Giuseppe Pisla, Doina Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title | Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title_full | Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title_fullStr | Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title_full_unstemmed | Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title_short | Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation |
title_sort | fuzzy logic-based risk assessment of a parallel robot for elbow and wrist rehabilitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013898/ https://www.ncbi.nlm.nih.gov/pubmed/31963917 http://dx.doi.org/10.3390/ijerph17020654 |
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