HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Rodrigues, Vinicius Facco
Orientador(a): Righi, Rodrigo da Rosa
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade do Vale do Rio dos Sinos
Programa de Pós-Graduação: Programa de Pós-Graduação em Computação Aplicada
Departamento: Escola Politécnica
País: Brasil
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://www.repositorio.jesuita.org.br/handle/UNISINOS/10859
Resumo: CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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spelling 2022-01-20T17:26:35Z2022-01-20T17:26:35Z2020-12-08Submitted by Maicon Juliano Schmidt (maicons) on 2022-01-20T17:26:35Z No. of bitstreams: 1 Vinicius Facco Rodrigues_.pdf: 6333989 bytes, checksum: 1bfc762597c593330ce7e03ece304411 (MD5)Made available in DSpace on 2022-01-20T17:26:35Z (GMT). No. of bitstreams: 1 Vinicius Facco Rodrigues_.pdf: 6333989 bytes, checksum: 1bfc762597c593330ce7e03ece304411 (MD5) Previous issue date: 2020-12-08CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorHealthcare 4.0 is a new concept that originates from hospitals’ evolution due to technological advances in medical activities. Nowadays, more and more doctors and healthcare administrators require real-time data analysis from sensors and surgery monitoring. In such settings, having real-time information may represent the difference between death or life. Currently, the analysis of data from medical settings takes place reactively. Actions to tackle problems with the patients’ health are only taken when critical situations take place. With the arrival of the Internet of Things (IoT) in these environments, the data revolution can allow medical processes to generate many sorts of real-time data automatically. Specialized applications rely on centralized systems to transform medical data into precise feedback so that actuators, whether humans or not, can take the right actions. Although positive, centralized systems suffer from scalability problems. As the connected number of sensors and applications increase, the system might fail due to too many connections. Therefore, quality of service (QoS) is essential because, without it, the applications’ results become unreliable. Although several approaches currently provide QoS for healthcare applications, it is still challenging to produce real-time data from sensors. More specifically, current studies present architecture models that employ different strategies to optimize the time to deliver data from sensors to the final users. Although presenting valuable contributions, they are restrained by the following limitations: (i) do not focus on hospital high critical environments; (ii) do not combine multiple strategies in different levels; (iii) do not put effort specifically in real-time data transmissions; and (iv) do not consider all relevant information for workflow analysis. Given the background, this study proposes HealthStack, a sensor middleware model for hospital settings. HealthStack collects data from sensors, stores them in a database, and delivers them to user applications meeting QoS requirements. HealthStack aims at reducing the delay and jitter in sensor data transmissions for user applications and, at the same time, reduce resource consumption. The model prototype was developed and tested in an operating room with depth cameras and an ultra-wideband (UWB) real-time location system (RTLS) for surgery workflow monitoring. This study presents scientific and technical contributions, and also contributions to society on behalf of hospital services. Its scientific contributions are twofold: a middleware model for healthcare environments with automatic QoS support for real-time data transmission; and a QoS strategy based on artificial neurons to select middleware components with poor performance. The experiments demonstrate that the strategy can improve the applications experienced jitter mean by 92.3% and delay mean by 28% for position data samples. Also, it resulted in a reduction of network, memory, and CPU consumption by up to 66.4%, 5.06%, and 48.3%, respectively. Besides the technical contributions, the solution offers a new level of reliability to time-critical applications directly impacting the patients’ health. This research provides the improvement of medical services for patients, contributing to the hospital administration processes because they can access real-time data with QoS guarantees.Rodrigues, Vinicius Faccohttp://lattes.cnpq.br/8625526295177399http://lattes.cnpq.br/2332604239081900Costa, Cristiano André dahttp://lattes.cnpq.br/9637121030877187Righi, Rodrigo da RosaUniversidade do Vale do Rio dos SinosPrograma de Pós-Graduação em Computação AplicadaUnisinosBrasilEscola PolitécnicaHealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0ACCNPQ::Ciências Exatas e da Terra::Ciência da ComputaçãoInternet of thingsHealthcareDistributed systemsQuality of serviceMedical informaticsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesishttp://www.repositorio.jesuita.org.br/handle/UNISINOS/10859info:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)instname:Universidade do Vale do Rio dos Sinos (UNISINOS)instacron:UNISINOSORIGINALVinicius Facco Rodrigues_.pdfVinicius Facco Rodrigues_.pdfapplication/pdf6333989http://repositorio.jesuita.org.br/bitstream/UNISINOS/10859/1/Vinicius+Facco+Rodrigues_.pdf1bfc762597c593330ce7e03ece304411MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82175http://repositorio.jesuita.org.br/bitstream/UNISINOS/10859/2/license.txt320e21f23402402ac4988605e1edd177MD52UNISINOS/108592022-01-20 14:27:21.532oai:www.repositorio.jesuita.org.br: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 Digital de Teses e Dissertaçõeshttp://www.repositorio.jesuita.org.br/oai/requestopendoar:2022-01-20T17:27:21Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos) - Universidade do Vale do Rio dos Sinos (UNISINOS)false
dc.title.en.fl_str_mv HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
title HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
spellingShingle HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
Rodrigues, Vinicius Facco
ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Internet of things
Healthcare
Distributed systems
Quality of service
Medical informatics
title_short HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
title_full HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
title_fullStr HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
title_full_unstemmed HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
title_sort HealthStack: providing an IoT middleware for malleable QoS service stacking for Healthcare 4.0
author Rodrigues, Vinicius Facco
author_facet Rodrigues, Vinicius Facco
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/8625526295177399
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/2332604239081900
dc.contributor.author.fl_str_mv Rodrigues, Vinicius Facco
dc.contributor.advisor-co1.fl_str_mv Costa, Cristiano André da
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/9637121030877187
dc.contributor.advisor1.fl_str_mv Righi, Rodrigo da Rosa
contributor_str_mv Costa, Cristiano André da
Righi, Rodrigo da Rosa
dc.subject.cnpq.fl_str_mv ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
topic ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Internet of things
Healthcare
Distributed systems
Quality of service
Medical informatics
dc.subject.eng.fl_str_mv Internet of things
Healthcare
Distributed systems
Quality of service
Medical informatics
description CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
publishDate 2020
dc.date.issued.fl_str_mv 2020-12-08
dc.date.accessioned.fl_str_mv 2022-01-20T17:26:35Z
dc.date.available.fl_str_mv 2022-01-20T17:26:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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url http://www.repositorio.jesuita.org.br/handle/UNISINOS/10859
dc.language.iso.fl_str_mv por
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Computação Aplicada
dc.publisher.initials.fl_str_mv Unisinos
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola Politécnica
publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
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