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Vadillo Moreno, Laura, Valero Duboy, Miguel Ángel ORCID: https://orcid.org/0000-0001-7517-0344 and Gil, Gema
(2013).
Enhancement of a body area network to support smart health monitoring at the digital home.
En: "8th International Conference on Body Area Networks (BodyNets 2013)", 30/09/2013 - 02/10/2013, Boston, Massachusetts, EE.UU.
https://doi.org/10.4108/icst.bodynets.2013.253578.
Título: | Enhancement of a body area network to support smart health monitoring at the digital home |
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Autor/es: |
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Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
Título del Evento: | 8th International Conference on Body Area Networks (BodyNets 2013) |
Fechas del Evento: | 30/09/2013 - 02/10/2013 |
Lugar del Evento: | Boston, Massachusetts, EE.UU |
Título del Libro: | 8th International Conference on Body Area Networks (BodyNets 2013) |
Fecha: | 2013 |
Materias: | |
ODS: | |
Palabras Clave Informales: | Smart Health, context aware system, multiagent home platform |
Escuela: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
Departamento: | Ingeniería y Arquitecturas Telemáticas [hasta 2014] |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The deployment of home-based smart health services requires effective and reliable systems for personal and environmental data management. ooperation between Home Area Networks (HAN) and Body Area Networks (BAN) can provide smart systems with ad hoc reasoning information to support health care. This paper details the implementation of an architecture that integrates BAN, HAN and intelligent agents to manage physiological and environmental data to proactively detect risk situations at the digital home. The system monitors dynamic situations and timely adjusts its behavior to detect user risks concerning to health. Thus, this work provides a reasoning framework to infer appropriate solutions in cases of health risk episodes. Proposed smart health monitoring approach integrates complex reasoning according to home environment, user profile and physiological parameters defined by a scalable ontology. As a result, health care demands can be detected to activate adequate internal mechanisms and report public health services for requested actions.
ID de Registro: | 26058 |
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Identificador DC: | https://oa.upm.es/26058/ |
Identificador OAI: | oai:oa.upm.es:26058 |
Identificador DOI: | 10.4108/icst.bodynets.2013.253578 |
URL Oficial: | http://eudl.eu/doi/10.4108/icst.bodynets.2013.2535... |
Depositado por: | Memoria Investigacion |
Depositado el: | 17 May 2014 08:42 |
Ultima Modificación: | 07 Abr 2019 09:15 |