Body sensor network : a self-adaptive system exemplar in the healthcare domain

Gil, Eric Bernd; Caldas, Ricardo Diniz; Rodrigues, Arthur; Silva, Gabriel Levi Gomes da; Rodrigues, Genaína Nunes; Pelliccione, Patrizio

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Campo DC	Valor	Idioma
dc.contributor.author	Gil, Eric Bernd	-
dc.contributor.author	Caldas, Ricardo Diniz	-
dc.contributor.author	Rodrigues, Arthur	-
dc.contributor.author	Silva, Gabriel Levi Gomes da	-
dc.contributor.author	Rodrigues, Genaína Nunes	-
dc.contributor.author	Pelliccione, Patrizio	-
dc.date.accessioned	2022-02-09T03:36:12Z	-
dc.date.available	2022-02-09T03:36:12Z	-
dc.date.issued	2021-06	-
dc.identifier.citation	GIL, Eric Bernd et al. Body sensor network: a self-adaptive system exemplar in the healthcare domain. In: INTERNACIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTATIVE AND SELF-MANAGING SYSTEMS (SEAMS), 2021, [S.l.]. Proceedings [...]. [S.l]: IEEE Computer Society, 2021. p. 224-230. DOI: http://doi.org/10.1109/SEAMS51251.2021.00037. Disponível em: https://ieeexplore.ieee.org/document/9462020. Acesso em: 09 fev. 2021.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/42844	-
dc.language.iso	Inglês	pt_BR
dc.publisher	IEEE	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Body sensor network : a self-adaptive system exemplar in the healthcare domain	pt_BR
dc.type	Trabalho	pt_BR
dc.subject.keyword	Sensores	pt_BR
dc.subject.keyword	Assistência médica	pt_BR
dc.subject.keyword	Sistemas de informação	pt_BR
dc.subject.keyword	Sistemas operacionais (Computadores)	pt_BR
dc.subject.keyword	Monitoramento de pacientes	pt_BR
dc.subject.keyword	Robôs - programação	pt_BR
dc.rights.license	© Copyright 2022 IEEE - All rights reserved.	pt_BR
dc.identifier.doi	http://doi.org/10.1109/SEAMS51251.2021.00037	pt_BR
dc.relation.publisherversion	https://ieeexplore.ieee.org/document/9462020	pt_BR
dc.description.abstract1	Recent worldwide events shed light on the need of human-centered systems engineering in the healthcare domain. These systems must be prepared to evolve quickly but safely, according to unpredicted environments and ever-changing pathogens that spread ruthlessly. Such scenarios suffocate hospitals' infrastructure and disable healthcare systems that are not prepared to deal with unpredicted environments without costly re-engineering. In the face of these challenges, we offer the SA-BSN - Self-Adaptive Body Sensor Network - prototype to explore the rather dynamic patient's health status monitoring. The exemplar is focused on self-adaptation and comes with scenarios that hinder an interplay between system reliability and battery consumption that is available after each execution. Also, we provide: (i) a noise injection mechanism, (ii) file-based patient profiles' configuration, (iii) six healthcare sensor simulations, and (iv) an extensible/reusable controller implementation for self-adaptation. The artifact is implemented in ROS (Robot Operating System), which embraces principles such as ease of use and relies on an active open source community support.	pt_BR
dc.description.unidade	Instituto de Ciências Exatas (IE)	pt_BR
dc.description.unidade	Departamento de Ciência da Computação (IE CIC)	-
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