A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Lima Neto, Afonso Bezerra
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Estadual do Ceará
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Ciência da computação
Lógica Fuzzy
Saúde
Sistemas multiagentes
Link de acesso: https://siduece.uece.br/siduece/trabalhoAcademicoPublico.jsf?id=83484
Resumo: <div style="">As time is passing by, life quality is becoming one of the most concerns for people who are getting old. According to studies involving countries in Europe, older people tend to live alone or, at most, with another person. The technology, currently available considering health products, helps those people to achieve their goals. However, the solutions that contain this technology still have a generic and proprietary character of each manufacturer, not allowing the integration with other solutions with open architecture, in order to generate a better use of the captured data, and to identify problems from other perspectives. Taking that into account, this work proposes a multi-agent system architecture that uses IoT devices to catch patients’ heart signals and, using artificial intelligence through fuzzy logic process to estimate the level of hypertension, considering systolic pressure, diastolic pressure, age, and body mass index. We used information about 768 patients obtained from a public database and evaluated the performance of the presented fuzzy logic model. The proposed solution compared the results of such fuzzy logic with an evaluation made by nurses, reaching a 94.40% of accuracy in the diagnosis.&nbsp;</div><div style="">Keywords: Fuzzy logic. Multi-agent system. Health. IoT</div>
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spelling A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertensionCiência da computação Lógica Fuzzy Saúde Sistemas multiagentes<div style="">As time is passing by, life quality is becoming one of the most concerns for people who are getting old. According to studies involving countries in Europe, older people tend to live alone or, at most, with another person. The technology, currently available considering health products, helps those people to achieve their goals. However, the solutions that contain this technology still have a generic and proprietary character of each manufacturer, not allowing the integration with other solutions with open architecture, in order to generate a better use of the captured data, and to identify problems from other perspectives. Taking that into account, this work proposes a multi-agent system architecture that uses IoT devices to catch patients’ heart signals and, using artificial intelligence through fuzzy logic process to estimate the level of hypertension, considering systolic pressure, diastolic pressure, age, and body mass index. We used information about 768 patients obtained from a public database and evaluated the performance of the presented fuzzy logic model. The proposed solution compared the results of such fuzzy logic with an evaluation made by nurses, reaching a 94.40% of accuracy in the diagnosis.&nbsp;</div><div style="">Keywords: Fuzzy logic. Multi-agent system. Health. IoT</div><div style=""><div>Com o passar do tempo, a qualidade de vida está se tornando uma das maiores preocupações das pessoas que estão envelhecendo. De acordo com estudos envolvendo países da Europa, pessoas mais velhas tendem a viver sozinhas ou, no máximo, com uma outra pessoa na mesma casa. A tecnologia atualmente disponível, considerando produtos de saúde, ajuda essas pessoas a alcançarem seus objetivos. Contudo, as soluções que contém essa tecnologia ainda tem um caráter muito genérico e proprietário de cada fabricante, impedindo a integração com outras soluções com arquitetura aberta, de forma a gerar uma aproveitamento maior dos dados capturados e identificar problemas a partir de outras perspectivas. Levando isso em conta, este trabalho propõe uma arquitetura de sistemas multiagente que utiliza dispositivos de IoT para captar sinais cardíacos de pacientes e, utilizando a inteligência artificial através da lógica fuzzy, estimar o nível de hipertensão considerando pressão sistólica, pressão diastólica, idade e índice de massa corporal. Utilizamos informações de 768 pacientes obtidos de um banco de dados público e avaliamos o desempenho do modelo de lógica fuzzy apresentado. A solução proposta comparou os resultados dessa lógica fuzzy com uma avaliação feita por enfermeiros, atingindo uma precisão de 94,40% no diagnóstico.&nbsp;</div><div>Palavras-chave: Lógica Fuzzy. Sistema Multi-agente. Saúde. IoT.</div></div>Universidade Estadual do CearáMARCIAL PORTO FERNANDEZLima Neto, Afonso Bezerra2019-05-03T13:52:07Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://siduece.uece.br/siduece/trabalhoAcademicoPublico.jsf?id=83484info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UECEinstname:Universidade Estadual do Cearáinstacron:UECE2019-05-03T13:52:07Zoai:uece.br:83484Repositório InstitucionalPUBhttps://siduece.uece.br/siduece/api/oai/requestopendoar:2019-05-03T13:52:07Repositório Institucional da UECE - Universidade Estadual do Cearáfalse
dc.title.none.fl_str_mv A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
title A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
spellingShingle A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
Lima Neto, Afonso Bezerra
Ciência da computação
Lógica Fuzzy
Saúde
Sistemas multiagentes
title_short A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
title_full A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
title_fullStr A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
title_full_unstemmed A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
title_sort A multi-agent system using fuzzy logic applied to e-health in order to monitor hypertension
author Lima Neto, Afonso Bezerra
author_facet Lima Neto, Afonso Bezerra
author_role author
dc.contributor.none.fl_str_mv MARCIAL PORTO FERNANDEZ
dc.contributor.author.fl_str_mv Lima Neto, Afonso Bezerra
dc.subject.por.fl_str_mv Ciência da computação
Lógica Fuzzy
Saúde
Sistemas multiagentes
topic Ciência da computação
Lógica Fuzzy
Saúde
Sistemas multiagentes
description <div style="">As time is passing by, life quality is becoming one of the most concerns for people who are getting old. According to studies involving countries in Europe, older people tend to live alone or, at most, with another person. The technology, currently available considering health products, helps those people to achieve their goals. However, the solutions that contain this technology still have a generic and proprietary character of each manufacturer, not allowing the integration with other solutions with open architecture, in order to generate a better use of the captured data, and to identify problems from other perspectives. Taking that into account, this work proposes a multi-agent system architecture that uses IoT devices to catch patients’ heart signals and, using artificial intelligence through fuzzy logic process to estimate the level of hypertension, considering systolic pressure, diastolic pressure, age, and body mass index. We used information about 768 patients obtained from a public database and evaluated the performance of the presented fuzzy logic model. The proposed solution compared the results of such fuzzy logic with an evaluation made by nurses, reaching a 94.40% of accuracy in the diagnosis.&nbsp;</div><div style="">Keywords: Fuzzy logic. Multi-agent system. Health. IoT</div>
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-05-03T13:52:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://siduece.uece.br/siduece/trabalhoAcademicoPublico.jsf?id=83484
url https://siduece.uece.br/siduece/trabalhoAcademicoPublico.jsf?id=83484
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual do Ceará
publisher.none.fl_str_mv Universidade Estadual do Ceará
dc.source.none.fl_str_mv reponame:Repositório Institucional da UECE
instname:Universidade Estadual do Ceará
instacron:UECE
instname_str Universidade Estadual do Ceará
instacron_str UECE
institution UECE
reponame_str Repositório Institucional da UECE
collection Repositório Institucional da UECE
repository.name.fl_str_mv Repositório Institucional da UECE - Universidade Estadual do Ceará
repository.mail.fl_str_mv
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