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Sistemas de monitoramento de pacientes com IoMT e aprendizado de máquina em cuidados de saúde

dc.creatorMoraes, Marcos Vinícius Vitor de
dc.date.accessioned27/04/2026pt_BR
dc.date.accessioned2026-04-28T00:38:09Z
dc.date.available2026-04-28T00:38:09Z
dc.date.issued2025-12-22
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dc.identifier.urihttps://repositorio.ifpe.edu.br/xmlui/handle/123456789/2138
dc.description.abstractInternet of Things (IoT) facilitates remote surveillance and monitoring through integrated networks and protocols, and is widely used in the healthcare sector. Medical facilities are integrating connected health technologies to collect patient information, optimizing diagnosis, care, and operational efficiency. This research presents a monitoring framework for medical service facilities, combining the Internet of Medical Things (IoMT) with machine learning approaches. The solution performs facial recognition, detects falls through motion patterns, and triggers alerts for caregivers. Testing yielded promising results, demonstrating good performance in both facial recognition and fall detection.pt_BR
dc.format.extentp.14pt_BR
dc.languagept_BRpt_BR
dc.relationMoraes, Marcos Vinícius Vitor de. Sistemas de monitoramento de pacientes com IoMT e aprendizado de máquina em cuidados de saúde Palmares: Instituto Federal de Educação Ciência e Tecnologia de Pernambuco, 2025, p.14.pt_BR
dc.rightsAcesso Abertopt_BR
dc.rightsAn error occurred on the license name.*
dc.rights.uriAn error occurred getting the license - uri.*
dc.subjectIoMT. Reconhecimento facial. Detecção de quedaspt_BR
dc.titleSistemas de monitoramento de pacientes com IoMT e aprendizado de máquina em cuidados de saúdept_BR
dc.typeArticlept_BR
dc.creator.Latteshttps://lattes.cnpq.br/6858181115526720pt_BR
dc.contributor.advisor1Bezerra, Thiago Valentim
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2833361671270005pt_BR
dc.contributor.referee1Bezerra, Thiago Valentim
dc.contributor.referee2Callou, Gustavo Rau de Almeida
dc.contributor.referee3Silva, Valdir José da
dc.contributor.referee1Latteshttp://lattes.cnpq.br/2833361671270005pt_BR
dc.contributor.referee2Latteshttp://lattes.cnpq.br/3146558967986940pt_BR
dc.contributor.referee3Latteshttp://lattes.cnpq.br/2588224608722394pt_BR
dc.publisher.departmentPalmarespt_BR
dc.publisher.countryBrasilpt_BR
dc.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOpt_BR
dc.description.resumoInternet das Coisas (IoT) facilita a vigilância e o monitoramento remoto, por meio de redes e protocolos integrados, sendo amplamente utilizada na área da saúde. As instalações médicas estão integrando tecnologias de saúde conectadas para coletar informações dos pacientes, otimizando o diagnóstico, o atendimento e a eficiência operacional. Esta pesquisa apresenta uma estrutura de monitoramento para instalações de serviços médicos, combinando Internet das Coisas Médicas (IoMT) com abordagens de aprendizado de máquina. A solução ao realizar reconhecimento facial, detecta quedas por meio de padrões de movimento e dispara alertas para cuidadores. Os testes produziram resultados promissores, demonstrando bom desempenho tanto no reconhecimento facial quanto na detecção de quedas.pt_BR


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