Observatorio de I+D+i UPM

Memorias de investigación
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Diabetes Metabolic Modeling And Personalized Treatment Based On A Multi-parametric Monitoring Platform
Año:2009
Áreas de investigación
  • Telemática
Datos
Descripción
The METABO system aims to set up a comprehensive platform running in every-day life environments for continuous and multi-parametric monitoring of the metabolic status of patients with diabetes disease and the provision of advanced decision-support. Metabolic modeling focuses on capturing the glucose response to patient¿s lifestyle and treatment with the aim of predicting blood glucose values and providing immediate alerting and decision support to the patient. The involved architectural modules are: ¿ Feature Extractor: Calculates and interprets the monitored data to diabetes-related features. ¿ Personal Metabolic Model: It is composed of two main functional submodules; the physiological model and the glucose predictive model able to provide predictions of the patient¿s blood glucose profile over a specific time horizon. ¿ What-If Advisor: Generates personalized advices on actions to be taken or avoided according to pre-defined ¿what-if¿ queries selected by the patient. ¿ METABO CDSS Model: Generates short-term and long-term alerts on hypo/hyper-glycaemic events and provides recommendations to the patient (e.g,. correction of bolus insulin, extra fingerstick testing, etc.)
Internacional
Si
Entidad
International Diabetes Technology Conference 2009
Lugar
Atenas, Grecia
Páginas
Nº 205
Referencia/URL
http://www2.kenes.com/attd2009/Pages/home.aspx (visited 25/05/2010).
Tipo de publicación
Póster
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: A. Guillén (Medtronic Spain)
  • Participante: V. Protopappas (University of Patras)
  • Participante: E. Georga (University of Ioannina)
  • Autor: Giuseppe Fico (UPM)
  • Participante: D. Ardigó (University of Parma)
  • Participante: J. Colás (Medtronic Spain)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Life Supporting Technologies (Tecnologías de Apoyo a la Vida)
  • Departamento: Tecnología Fotónica
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