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Memorias de investigación
Communications at congresses:
Glucose-Insulin regulator for Type 1 Diabetes using high order neural networks
Year:2014
Research Areas
  • Biomedicine,
  • Communications systems
Information
Abstract
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.
International
Si
Congress
International Conference on Advances In Computing, Communication and Information Technology - CCIT 2014
960
Place
LONDRES, UK
Reviewers
Si
ISBN/ISSN
978-1-63248-010-1
10.15224/ 978-1-63248-010-1-25
Start Date
01/06/2014
End Date
02/06/2014
From page
122
To page
129
Proc. of the International Conference on Advances In Computing, Communication and Information Technology
Participants
  • Autor: Agustin Rodriguez Herrero (UPM)
Research Group, Departaments and Institutes related
  • 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
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