Ambiente Domiciliar Assistido para o Monitoramento Remoto de Idosos em Zonas Rurais
Abstract
With the aging population and the concern to maintain primary health care for the entire population, added to the concern with the care of elderly people living in rural areas, this paper proposes a model for the remote monitoring of the elderly in an Assisted Home Environment, where there is difficulty in accessing the internet, which considers the Edge-Fog Cloud computing infrastructure to provide a suitable environment. A study of the proposed model and scenario simulations in a context simulator environment in software is presented. As a result of this work, it is possible to understand the need for an infrastructure considering 3 levels, taking into account communication and computing with the objective of an optimized cleaning of digital data from IoT, to be stored in the cloud.References
United Nations, Department of Economic and Social Affairs, Population Division (2019). World Population Ageing 2019: Highlights (ST/ESA/SER.A/430), [link].
Penido, A., (2018) "Estudo aponta que 75 por cento dos idosos usam apenas o SUS", [link].
Trevelyan, E. and Smith, A. S. (2019). "In some states, more than half of older residents live in rural areas". In: United States Census Bureau, [link].
Comissão Econômica Unece (2017). "Resumo de Políticas: Idosos em áreas rurais e remotas". In: Resumo de políticas da Unece sobre o envelhecimento nº 18, https://unece.org/DAM/pau/age/Policy_briefs/Portuguese/PB18_V01.pdf.
Elisa Y. Nakagawa, Pablo O. Antonino, Martin Becker, José C. Maldonado, Holger Storf, Karina B. Villela, Dieter Rombach, (2013). "Relevance and perspectives of AAL in Brazil". In: Journal of Systems and Software, Volume 86, Issue 4, Pages 985-996, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2012.10.013. (https://www.sciencedirect.com/science/article/pii/S0164121212002841)
Balakrishna, S., Thirumaran, M., Solanki, V.K. (2020). IoT Sensor Data Integration in Healthcare using Semantics and Machine Learning Approaches. In: Balas, V., Solanki, V., Kumar, R., Ahad, M. (eds) A Handbook of Internet of Things in Biomedical and Cyber Physical System. Intelligent Systems Reference Library, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-030-23983-1_11
Ortiz, O., Zouai, M., Kazar, O., Garcia, A.P., Boubeta, J., (2022). "Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing", In: Computer Standards & Interfaces, Volume 79, https://doi.org/10.1016/j.csi.2021.103550.
Omni.sci, (2021). https://www.omnisci.com/technical-glossary/fog-computing
Rebelato, C. E., (2017). "Desenvolvimento de uma abordagem para a identificação e localização de pessoas em Ambientes Assistidos". In: RI UFSC, https://repositorio.ufsc.br/xmlui/handle/123456789/177696
Umilio, F., Inacio, E., Dantas, M. (2019). "Uma Abordagem em Ambiente Domiciliar Assistido Baseada no Paradigma de Segurança Orientada a Contexto". In: WSCAD, Campo Grande. Porto Alegre: Sociedade Brasileira de Computação. p. 9-16. DOI: https://doi.org/10.5753/wscad_estendido.2019.8693.
Thomé, T.G., (2020). "IoT devices in a cooperative for-cloud configuration to support predictions in a healthcare environment". In: Universidade Federal de Juiz de Fora, http://monografias.ice.ufjf.br/tcc-web/tcc?id=511
Nascimento, M. G., Iorio, G., Thomé, T. G., Medeiros, Alvaro A. M., Mendonça, Fabricio M., Campos, F. A., David, J. M., Ströele, V., Dantas, M. A.R., (2020). "Covid-19: A Digital Transformation Approach to a Public Primary Healthcare Environment". In: IEEE . https://ieeexplore.ieee.org/document/9219643
Penido, A., (2018) "Estudo aponta que 75 por cento dos idosos usam apenas o SUS", [link].
Trevelyan, E. and Smith, A. S. (2019). "In some states, more than half of older residents live in rural areas". In: United States Census Bureau, [link].
Comissão Econômica Unece (2017). "Resumo de Políticas: Idosos em áreas rurais e remotas". In: Resumo de políticas da Unece sobre o envelhecimento nº 18, https://unece.org/DAM/pau/age/Policy_briefs/Portuguese/PB18_V01.pdf.
Elisa Y. Nakagawa, Pablo O. Antonino, Martin Becker, José C. Maldonado, Holger Storf, Karina B. Villela, Dieter Rombach, (2013). "Relevance and perspectives of AAL in Brazil". In: Journal of Systems and Software, Volume 86, Issue 4, Pages 985-996, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2012.10.013. (https://www.sciencedirect.com/science/article/pii/S0164121212002841)
Balakrishna, S., Thirumaran, M., Solanki, V.K. (2020). IoT Sensor Data Integration in Healthcare using Semantics and Machine Learning Approaches. In: Balas, V., Solanki, V., Kumar, R., Ahad, M. (eds) A Handbook of Internet of Things in Biomedical and Cyber Physical System. Intelligent Systems Reference Library, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-030-23983-1_11
Ortiz, O., Zouai, M., Kazar, O., Garcia, A.P., Boubeta, J., (2022). "Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing", In: Computer Standards & Interfaces, Volume 79, https://doi.org/10.1016/j.csi.2021.103550.
Omni.sci, (2021). https://www.omnisci.com/technical-glossary/fog-computing
Rebelato, C. E., (2017). "Desenvolvimento de uma abordagem para a identificação e localização de pessoas em Ambientes Assistidos". In: RI UFSC, https://repositorio.ufsc.br/xmlui/handle/123456789/177696
Umilio, F., Inacio, E., Dantas, M. (2019). "Uma Abordagem em Ambiente Domiciliar Assistido Baseada no Paradigma de Segurança Orientada a Contexto". In: WSCAD, Campo Grande. Porto Alegre: Sociedade Brasileira de Computação. p. 9-16. DOI: https://doi.org/10.5753/wscad_estendido.2019.8693.
Thomé, T.G., (2020). "IoT devices in a cooperative for-cloud configuration to support predictions in a healthcare environment". In: Universidade Federal de Juiz de Fora, http://monografias.ice.ufjf.br/tcc-web/tcc?id=511
Nascimento, M. G., Iorio, G., Thomé, T. G., Medeiros, Alvaro A. M., Mendonça, Fabricio M., Campos, F. A., David, J. M., Ströele, V., Dantas, M. A.R., (2020). "Covid-19: A Digital Transformation Approach to a Public Primary Healthcare Environment". In: IEEE . https://ieeexplore.ieee.org/document/9219643
Published
2022-10-19
How to Cite
SILVEIRA, Walkíria G. S.; DANTAS, Mario A. R..
Ambiente Domiciliar Assistido para o Monitoramento Remoto de Idosos em Zonas Rurais. In: UNDERGRADUATE RESEARCH WORKSHOP - SYMPOSIUM ON HIGH PERFORMANCE COMPUTING SYSTEMS (SSCAD), 23. , 2022, Florianópolis.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
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p. 1-8.
DOI: https://doi.org/10.5753/wscad_estendido.2022.226331.
