Simulador de paciente T1D en tiempo real

  1. Juliana Manrique Cordoba 1
  2. Juan David Romero Ante 1
  3. José María Sabater Navarro 2
  4. Oscar Andrés Vivas Albán 1
  5. José María Vicente Samper 2
  1. 1 Universidad del Cauca
    info

    Universidad del Cauca

    Popayán, Colombia

    ROR https://ror.org/04fybn584

  2. 2 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Year of publication: 2018

Pages: 64-71

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497497565.0064 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Sustainable development goals

Abstract

This paper develops a real time implementation of a mathematical model that describes the glucose – insulin dynamics of a patient with Type 1 Diabetes Mellitus (T1D). In addition, the intake of fats and proteins is contemplated. The model also considers the infusion of exogenous insulin and the variation of insulin sensitivity through the day. Likewise, the engagement of the model to a remote monitoring tool is shown. The real time implementation allows to demonstrate that from engineering is possible to tribute to the T1D insulin treatments.

Data source: Dialnet