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A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems

Medical Cyber-Physical Systems (MCPS) are context-aware, life-critical systems with patient safety as the main concern, demanding rigorous processes for validation to guarantee user requirement compliance and specification-oriented correctness. In this article, we propose a model-based approach for...

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Detalles Bibliográficos
Autores principales: Silva, Lenardo C., Almeida, Hyggo O., Perkusich, Angelo, Perkusich, Mirko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701248/
https://www.ncbi.nlm.nih.gov/pubmed/26528982
http://dx.doi.org/10.3390/s151127625
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author Silva, Lenardo C.
Almeida, Hyggo O.
Perkusich, Angelo
Perkusich, Mirko
author_facet Silva, Lenardo C.
Almeida, Hyggo O.
Perkusich, Angelo
Perkusich, Mirko
author_sort Silva, Lenardo C.
collection PubMed
description Medical Cyber-Physical Systems (MCPS) are context-aware, life-critical systems with patient safety as the main concern, demanding rigorous processes for validation to guarantee user requirement compliance and specification-oriented correctness. In this article, we propose a model-based approach for early validation of MCPS, focusing on promoting reusability and productivity. It enables system developers to build MCPS formal models based on a library of patient and medical device models, and simulate the MCPS to identify undesirable behaviors at design time. Our approach has been applied to three different clinical scenarios to evaluate its reusability potential for different contexts. We have also validated our approach through an empirical evaluation with developers to assess productivity and reusability. Finally, our models have been formally verified considering functional and safety requirements and model coverage.
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spelling pubmed-47012482016-01-19 A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems Silva, Lenardo C. Almeida, Hyggo O. Perkusich, Angelo Perkusich, Mirko Sensors (Basel) Article Medical Cyber-Physical Systems (MCPS) are context-aware, life-critical systems with patient safety as the main concern, demanding rigorous processes for validation to guarantee user requirement compliance and specification-oriented correctness. In this article, we propose a model-based approach for early validation of MCPS, focusing on promoting reusability and productivity. It enables system developers to build MCPS formal models based on a library of patient and medical device models, and simulate the MCPS to identify undesirable behaviors at design time. Our approach has been applied to three different clinical scenarios to evaluate its reusability potential for different contexts. We have also validated our approach through an empirical evaluation with developers to assess productivity and reusability. Finally, our models have been formally verified considering functional and safety requirements and model coverage. MDPI 2015-10-30 /pmc/articles/PMC4701248/ /pubmed/26528982 http://dx.doi.org/10.3390/s151127625 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Silva, Lenardo C.
Almeida, Hyggo O.
Perkusich, Angelo
Perkusich, Mirko
A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title_full A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title_fullStr A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title_full_unstemmed A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title_short A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems
title_sort model-based approach to support validation of medical cyber-physical systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701248/
https://www.ncbi.nlm.nih.gov/pubmed/26528982
http://dx.doi.org/10.3390/s151127625
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