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Memorias de investigación
Ponencias en congresos:
Neuro-Fuzzy based Glucose Prediction Model for Patients with Type 1 Diabetes Mellitus
Año:2014
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
This paper presents the design, the development and the evaluation of a personalized glucose prediction model for patients with Type 1 Diabetes Mellitus (T1DM). The personalized model is based on neuro-fuzzy techniques in order to capture the metabolic behavior of a patient with T1DM. Moreover, wavelets are applied as activation functions in order to enhance the prediction performance and avoid local minimum during training stage. The model receives as input, data from sensors which record in real time glucose levels and physical activity, and provides with future glucose levels. The proposed model is evaluated using data from the medical records of 6 patients with T1DM for the time being on CGMSs and physical activity sensors. The obtained results demonstrate the ability of the proposed model to capture the metabolic behavior of a patient with T1DM and to handle intra- and inter-patient variability.
Internacional
Si
Nombre congreso
IEEE-EMBS International Conferences on Biomedical and Health Informatics (BHI)
Tipo de participación
960
Lugar del congreso
Valencia, Spain
Revisores
Si
ISBN o ISSN
978-1-4799-2131-7
DOI
10.1109/BHI.2014.6864322
Fecha inicio congreso
01/06/2014
Fecha fin congreso
04/06/2014
Desde la página
252
Hasta la página
255
Título de las actas
Proceedings of the IEEE-EMBS International Conferences on Biomedical and Health Informatics (BHI)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: K. Zarkogianni (Biomedical Simulations and Imaging Laboratory, National Technical University of Athens)
  • Autor: K. Mitsis (Biomedical Simulations and Imaging Laboratory, National Technical University of Athens)
  • Autor: Maria Teresa Arredondo Waldmeyer (UPM)
  • Autor: Giuseppe Fico (UPM)
  • Autor: Alessio Fioravanti . (UPM)
  • Autor: K. S. Nikita (Faculty of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnologías de Apoyo a la Vida
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería
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