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Publication
Smart Sensor: Uma Solução na Medição de Sinais Assistidos por Smartphone
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| 6.61 MB | Adobe PDF |
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Advisor(s)
Abstract(s)
A dissertação elaborada apresenta o desenvolvimento de uma aplicação Android para a medição
e processamento de sinais bioquímicos e bioelétricos, com o objetivo de oferecer uma
solução acessível, eficaz e portátil para profissionais da área biomédica. A motivação baseiase
na crescente utilização de smartphones como plataformas de telemedicina e monitorização
em tempo real, destacando a importância da integração tecnológica com biossensores móveis.
Utilizando arquiteturas modernas de software, frameworks como Spring e linguagens
Java e Kotlin, a aplicação facilita a aquisição, armazenamento e análise de dados biomédicos
via smartphone, contemplando métodos como voltametria cíclica e amperometria. A
avaliação demonstrou resultados satisfatórios na replicação dos sinais laboratoriais, evidenciando
o potencial da ferramenta para otimização de diagnósticos e monitorização remota.
Limitações relacionadas com o hardware e a experiência do utilizador foram identificadas,
apontando para futuras melhorias, incluindo a integração direta com dispositivos sensores e a
expansão das funcionalidades analíticas. A presente investigação contribui para a democratização
do acesso a tecnologias biomédicas móveis, promovendo avanços na telemedicina e em
soluções de diagnóstico, com implicações relevantes para a área de Engenharia Biomédica.
The dissertation presents the development of an Android application for the measurement and processing of biochemical and bioelectrical signals, with the aim of offering an accessible, effective, and portable solution for biomedical professionals. The motivation is based on the growing use of smartphones as platforms for telemedicine and real-time monitoring, highlighting the importance of technological integration with mobile biosensors. The motivation is based on the growing use of smartphones as platforms for telemedicine and real-time monitoring, highlighting the importance of technological integration with mobile biosensors. Using modern software architectures, frameworks such as Spring and languages Java and Kotlin, the application facilitates the acquisition, storage and analysis of biomedical data via smartphone, covering methods such as cyclic voltammetry and amperometry. The evaluation showed satisfactory results in the replication of laboratory signals, highlighting the tool’s potential for optimising diagnostics and remote monitoring. Limitations related to hardware and user experience were identified, pointing to future improvements, including direct integration with sensor devices and the expansion of analytical functionalities. This research contributes to the democratisation of access to mobile biomedical technologies, promoting advances in telemedicine and point-of-care diagnostic solutions, with relevant implications for the field of Biomedical Engineering.
The dissertation presents the development of an Android application for the measurement and processing of biochemical and bioelectrical signals, with the aim of offering an accessible, effective, and portable solution for biomedical professionals. The motivation is based on the growing use of smartphones as platforms for telemedicine and real-time monitoring, highlighting the importance of technological integration with mobile biosensors. The motivation is based on the growing use of smartphones as platforms for telemedicine and real-time monitoring, highlighting the importance of technological integration with mobile biosensors. Using modern software architectures, frameworks such as Spring and languages Java and Kotlin, the application facilitates the acquisition, storage and analysis of biomedical data via smartphone, covering methods such as cyclic voltammetry and amperometry. The evaluation showed satisfactory results in the replication of laboratory signals, highlighting the tool’s potential for optimising diagnostics and remote monitoring. Limitations related to hardware and user experience were identified, pointing to future improvements, including direct integration with sensor devices and the expansion of analytical functionalities. This research contributes to the democratisation of access to mobile biomedical technologies, promoting advances in telemedicine and point-of-care diagnostic solutions, with relevant implications for the field of Biomedical Engineering.
Description
Keywords
Sensor Signal Application Smartphone Android Sensor Sinal Aplicação