Enhancement of a body area network to support smart health monitoring at the digital home

Vadillo Moreno, Laura; Valero Duboy, Miguel Ángel y 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.

Descripción

Título: Enhancement of a body area network to support smart health monitoring at the digital home
Autor/es:
  • Vadillo Moreno, Laura
  • Valero Duboy, Miguel Ángel
  • Gil, Gema
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:
Palabras Clave Informales: Smart Health, context aware system, multiagent home platform
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería y Arquitecturas Telemáticas [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 26058
Identificador DC: http://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.2013.253578
Depositado por: Memoria Investigacion
Depositado el: 17 May 2014 08:42
Ultima Modificación: 22 Sep 2014 11:39
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