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dc.contributor.authorGil, Eric Bernd-
dc.contributor.authorCaldas, Ricardo Diniz-
dc.contributor.authorRodrigues, Arthur-
dc.contributor.authorSilva, Gabriel Levi Gomes da-
dc.contributor.authorRodrigues, Genaína Nunes-
dc.contributor.authorPelliccione, Patrizio-
dc.date.accessioned2022-02-09T03:36:12Z-
dc.date.available2022-02-09T03:36:12Z-
dc.date.issued2021-06-
dc.identifier.citationGIL, 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.urihttps://repositorio.unb.br/handle/10482/42844-
dc.language.isoInglêspt_BR
dc.publisherIEEEpt_BR
dc.rightsAcesso Restritopt_BR
dc.titleBody sensor network : a self-adaptive system exemplar in the healthcare domainpt_BR
dc.typeTrabalhopt_BR
dc.subject.keywordSensorespt_BR
dc.subject.keywordAssistência médicapt_BR
dc.subject.keywordSistemas de informaçãopt_BR
dc.subject.keywordSistemas operacionais (Computadores)pt_BR
dc.subject.keywordMonitoramento de pacientespt_BR
dc.subject.keywordRobôs - programaçãopt_BR
dc.rights.license© Copyright 2022 IEEE - All rights reserved.pt_BR
dc.identifier.doihttp://doi.org/10.1109/SEAMS51251.2021.00037pt_BR
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9462020pt_BR
dc.description.abstract1Recent 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.unidadeInstituto de Ciências Exatas (IE)pt_BR
dc.description.unidadeDepartamento de Ciência da Computação (IE CIC)-
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