Sistema de apoio ao diagnóstico de sobrecargas plantares
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/19686 |
Resumo: | Diabetes Mellitus (DM) is a chronic disease that impacts the quality of life of individuals of various age groups, being listed among the 10 leading causes of death in adults. Associated with this disease are diabetic foot ulcers, which cause a reduction in the patient's mobility, quality of life and even amputation of the affected limb. In order to prevent this situation, the study in question aims to develop a mobile application to monitor the patient's gait. The gait data will be collected from a sensorised insole with pressure, temperature, and humidity sensors, with its subsequent analysis and real-time provision of warnings if situations conducive to the formation of a foot ulcer are found. As this insole has not yet been developed, a second mobile application was created to send data replicating several phases of the human gait. In addition, a web application was developed for healthcare professionals, where they can access the patient's personal data as well as various types of statistics associated with their gait, helping the professional to make decisions regarding the improvements that can be made regarding the way the patient performs the gait. All applications were properly tested and proved to be responsive on different devices, environments, and operating system versions. Throughout the development process, it was possible to observe that they will help the healthcare professional to detect more easily patterns in the patient's gait and will alert the patient to the need to change the way he supports the foot, with the provision of information in real time. In order to continue this study, it is hoped in the future to link this system with a clinical record repository, to create a learning algorithm that can use other parameters besides the reading records to create alerts, and finally, it would be useful to develop the application for the IOS operating system. |
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Sistema de apoio ao diagnóstico de sobrecargas plantaresPlantar Overload Diagnostic Support SystemTechnologyMobile applicationsWeb applicationsDiabetes MellitusDiabetic foot ulcersmHealthTecnologiaAplicações móveisAplicações webÚlceras do pé diabéticoDiabetes Mellitus (DM) is a chronic disease that impacts the quality of life of individuals of various age groups, being listed among the 10 leading causes of death in adults. Associated with this disease are diabetic foot ulcers, which cause a reduction in the patient's mobility, quality of life and even amputation of the affected limb. In order to prevent this situation, the study in question aims to develop a mobile application to monitor the patient's gait. The gait data will be collected from a sensorised insole with pressure, temperature, and humidity sensors, with its subsequent analysis and real-time provision of warnings if situations conducive to the formation of a foot ulcer are found. As this insole has not yet been developed, a second mobile application was created to send data replicating several phases of the human gait. In addition, a web application was developed for healthcare professionals, where they can access the patient's personal data as well as various types of statistics associated with their gait, helping the professional to make decisions regarding the improvements that can be made regarding the way the patient performs the gait. All applications were properly tested and proved to be responsive on different devices, environments, and operating system versions. Throughout the development process, it was possible to observe that they will help the healthcare professional to detect more easily patterns in the patient's gait and will alert the patient to the need to change the way he supports the foot, with the provision of information in real time. In order to continue this study, it is hoped in the future to link this system with a clinical record repository, to create a learning algorithm that can use other parameters besides the reading records to create alerts, and finally, it would be useful to develop the application for the IOS operating system.A Diabetes Mellitus (DM) é uma doença crónica que tem impacto na qualidade de vida de indivíduos de vários grupos etários, estando listada entre as 10 principais causas de morte em adultos. Associadas a esta doença, estão as úlceras do pé diabético, que causam uma redução da mobilidade do paciente, da qualidade de vida e até mesmo a amputação do membro afetado. Com o objetivo de prevenir esta situação, o estudo em questão visa desenvolver uma aplicação móvel para monitorizar a marcha do paciente. Os dados da marcha serão recolhidos a partir de uma palmilha sensorizada com sensores de pressão, temperatura e humidade, com a sua posterior análise, e fornecimento, em tempo real, de alertas no caso de serem encontradas situações propícias para a formação de uma úlcera no pé. Como esta palmilha ainda não foi desenvolvida, foi criada uma segunda aplicação móvel para enviar dados que replicam várias fases da marcha humana. Além disso, foi desenvolvida uma aplicação Web para profissionais de saúde, onde podem ter acesso aos dados pessoais do paciente, bem como vários tipos de estatísticas associadas à sua marcha, ajudando o profissional a tomar decisões relativamente às melhorias que podem ser feitas em relação à forma de como o paciente executa a marcha. Todas as aplicações foram devidamente testadas e mostraram-se responsivas em diferentes dispositivos, ambientes e versões de sistema operativo. Ao longo do processo de desenvolvimento, foi possível observar que estas ajudarão o profissional de saúde a detetar mais facilmente padrões na marcha do paciente, e alertarão o mesmo para a necessidade de mudar a forma como apoia o pé, com o fornecimento de informação em tempo real. De forma a dar continuidade a este estudo, espera-se no futuro interligar este sistema com um repositório de registos clínicos, criar um algoritmo de aprendizagem que possa utilizar outros parâmetros para além dos registos de leituras para criar alertas, e, finalmente, seria útil desenvolver a aplicação para o sistema operativo IOS.Faria, Luiz Felipe Rocha deRepositório Científico do Instituto Politécnico do PortoCoelho, João Vítor da Silva2022-01-28T16:38:13Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdftext/plain; charset=utf-8http://hdl.handle.net/10400.22/19686TID:202796590enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:14:23Zoai:recipp.ipp.pt:10400.22/19686Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:39:43.439864Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sistema de apoio ao diagnóstico de sobrecargas plantares Plantar Overload Diagnostic Support System |
title |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
spellingShingle |
Sistema de apoio ao diagnóstico de sobrecargas plantares Coelho, João Vítor da Silva Technology Mobile applications Web applications Diabetes Mellitus Diabetic foot ulcers mHealth Tecnologia Aplicações móveis Aplicações web Úlceras do pé diabético |
title_short |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
title_full |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
title_fullStr |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
title_full_unstemmed |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
title_sort |
Sistema de apoio ao diagnóstico de sobrecargas plantares |
author |
Coelho, João Vítor da Silva |
author_facet |
Coelho, João Vítor da Silva |
author_role |
author |
dc.contributor.none.fl_str_mv |
Faria, Luiz Felipe Rocha de Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Coelho, João Vítor da Silva |
dc.subject.por.fl_str_mv |
Technology Mobile applications Web applications Diabetes Mellitus Diabetic foot ulcers mHealth Tecnologia Aplicações móveis Aplicações web Úlceras do pé diabético |
topic |
Technology Mobile applications Web applications Diabetes Mellitus Diabetic foot ulcers mHealth Tecnologia Aplicações móveis Aplicações web Úlceras do pé diabético |
description |
Diabetes Mellitus (DM) is a chronic disease that impacts the quality of life of individuals of various age groups, being listed among the 10 leading causes of death in adults. Associated with this disease are diabetic foot ulcers, which cause a reduction in the patient's mobility, quality of life and even amputation of the affected limb. In order to prevent this situation, the study in question aims to develop a mobile application to monitor the patient's gait. The gait data will be collected from a sensorised insole with pressure, temperature, and humidity sensors, with its subsequent analysis and real-time provision of warnings if situations conducive to the formation of a foot ulcer are found. As this insole has not yet been developed, a second mobile application was created to send data replicating several phases of the human gait. In addition, a web application was developed for healthcare professionals, where they can access the patient's personal data as well as various types of statistics associated with their gait, helping the professional to make decisions regarding the improvements that can be made regarding the way the patient performs the gait. All applications were properly tested and proved to be responsive on different devices, environments, and operating system versions. Throughout the development process, it was possible to observe that they will help the healthcare professional to detect more easily patterns in the patient's gait and will alert the patient to the need to change the way he supports the foot, with the provision of information in real time. In order to continue this study, it is hoped in the future to link this system with a clinical record repository, to create a learning algorithm that can use other parameters besides the reading records to create alerts, and finally, it would be useful to develop the application for the IOS operating system. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-01-28T16:38:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/19686 TID:202796590 |
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eng |
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