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

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

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...

Full description

Main Authors:	Gil, Eric Bernd, Caldas, Ricardo Diniz, Rodrigues, Arthur, Silva, Gabriel Levi Gomes da, Rodrigues, Genaína Nunes, Pelliccione, Patrizio
Format:	Trabalho
Language:	Inglês
Published:	IEEE 2022
Subjects:	Sensores Assistência médica Sistemas de informação Sistemas operacionais (Computadores) Monitoramento de pacientes Robôs - programação
Online Access:	https://repositorio.unb.br/handle/10482/42844 http://doi.org/10.1109/SEAMS51251.2021.00037
Tags:	Add Tag No Tags, Be the first to tag this record!

id	ir-10482-42844
recordtype	dspace
spelling	ir-10482-428442022-02-09T13:22:33Z 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 Sensores Assistência médica Sistemas de informação Sistemas operacionais (Computadores) Monitoramento de pacientes Robôs - programação 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. 2022-02-09T03:36:12Z 2022-02-09T03:36:12Z 2021-06 Trabalho 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. https://repositorio.unb.br/handle/10482/42844 http://doi.org/10.1109/SEAMS51251.2021.00037 Inglês https://ieeexplore.ieee.org/document/9462020 Acesso Restrito © Copyright 2022 IEEE - All rights reserved. IEEE
institution	REPOSITORIO UNB
collection	REPOSITORIO UNB
language	Inglês
topic	Sensores Assistência médica Sistemas de informação Sistemas operacionais (Computadores) Monitoramento de pacientes Robôs - programação
spellingShingle	Sensores Assistência médica Sistemas de informação Sistemas operacionais (Computadores) Monitoramento de pacientes Robôs - programação Gil, Eric Bernd Caldas, Ricardo Diniz Rodrigues, Arthur Silva, Gabriel Levi Gomes da Rodrigues, Genaína Nunes Pelliccione, Patrizio Body sensor network : a self-adaptive system exemplar in the healthcare domain
description	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.
format	Trabalho
author	Gil, Eric Bernd Caldas, Ricardo Diniz Rodrigues, Arthur Silva, Gabriel Levi Gomes da Rodrigues, Genaína Nunes Pelliccione, Patrizio
author_sort	Gil, Eric Bernd
title	Body sensor network : a self-adaptive system exemplar in the healthcare domain
title_short	Body sensor network : a self-adaptive system exemplar in the healthcare domain
title_full	Body sensor network : a self-adaptive system exemplar in the healthcare domain
title_fullStr	Body sensor network : a self-adaptive system exemplar in the healthcare domain
title_full_unstemmed	Body sensor network : a self-adaptive system exemplar in the healthcare domain
title_sort	body sensor network : a self-adaptive system exemplar in the healthcare domain
publisher	IEEE
publishDate	2022
url	https://repositorio.unb.br/handle/10482/42844 http://doi.org/10.1109/SEAMS51251.2021.00037
_version_	1725109611868979200
score	13.657419

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

Similar Items