Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
"Factors that influence the precision of a glucose predictor for type 1 diabetes based on neural Networks¿
Year:2009
Research Areas
  • Processing and signal analysis
Information
Abstract
This work presents the influence of some factors on the precision of a glucose predictor. The predictor, based on neural networks (NNM) was individually trained with continuous glucose data from nine patients. The precision was calculated as the root mean square error (RMSE) between the original and predicted profiles (Pérez-Gandía et al, 2008). We analyze the reasons of the inter-patient precision variability and the optimum training-set size to improve the model performance.
International
Si
Congress
2nd Conference on Advanced Technologies & Treatments for Diabetes. Atenas, A156, 2009.
960
Place
Atenas
Reviewers
Si
ISBN/ISSN
00000000
Start Date
25/02/2009
End Date
27/02/2009
From page
156
To page
156
2nd Conference on Advanced Technologies & Treatments for Diabetes
Participants
  • Autor: Gema Garcia Saez (UPM)
  • Autor: Agustin Rodriguez Herrero (UPM)
  • Autor: Mª Carmen Pérez Gandía (UPM)
  • Autor: Maria Elena Hernando Perez (UPM)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
  • Autor: Iñaki Martínez Sarriegui (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Sistemas Electrónicos y de Control
  • Departamento: Tecnología Fotónica
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)