Memorias de investigación
Ponencias en congresos:
Glucose-Insulin regulator for Type 1 Diabetes using high order neural networks
Año:2014
Áreas de investigación
  • Biomedicina,
  • Sistema de comunicación
Datos
Descripción
In this paper a Glucose-Insulin regulator for Type 1 Diabetes using artificial neural networks (ANN) is proposed. This is done using a discrete recurrent high order neural network in order to identify and control a nonlinear dynamical system which represents the pancreas? beta-cells behavior of a virtual patient. The ANN which reproduces and identifies the dynamical behavior system, is configured as series parallel and trained on line using the extended Kalman filter algorithm to achieve a quickly convergence identification in silico. The control objective is to regulate the glucose-insulin level under different glucose inputs and is based on a nonlinear neural block control law. A safety block is included between the control output signal and the virtual patient with type 1 diabetes mellitus. Simulations include a period of three days. Simulation results are compared during the overnight fasting period in Open-Loop (OL) versus Closed- Loop (CL). Tests in Semi-Closed-Loop (SCL) are made feedforward in order to give information to the control algorithm. We conclude the controller is able to drive the glucose to target in overnight periods and the feedforward is necessary to control the postprandial period.
Internacional
Si
Nombre congreso
International Conference on Advances In Computing, Communication and Information Technology - CCIT 2014
Tipo de participación
960
Lugar del congreso
LONDRES, UK
Revisores
Si
ISBN o ISSN
978-1-63248-010-1
DOI
10.15224/ 978-1-63248-010-1-25
Fecha inicio congreso
01/06/2014
Fecha fin congreso
02/06/2014
Desde la página
122
Hasta la página
129
Título de las actas
Proc. of the International Conference on Advances In Computing, Communication and Information Technology
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Departamento: Ingeniería Telemática y Electrónica
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB