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...
| Main Authors: | Gil, Eric Bernd, Caldas, Ricardo Diniz, Rodrigues, Arthur, Silva, Gabriel Levi Gomes da, Rodrigues, Genaína Nunes, Pelliccione, Patrizio |
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| Format: | Trabalho |
| Language: | Inglês |
| Published: |
IEEE
2022
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| Subjects: | |
| Online Access: |
https://repositorio.unb.br/handle/10482/42844 http://doi.org/10.1109/SEAMS51251.2021.00037 |
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| Summary: |
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. |
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