Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise

The development of an artificial pancreas for the treatment of insulin-dependent diabetes is a big challenge for control theory. Many closed-loop algorithms have been widely evaluated for their ability to recreate, as closely as possible, glucose and insulin profiles observed in healthy individuals....

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Detalles Bibliográficos
Autores principales: Avila, Luis, Martínez, Ernesto
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124569
https://41jaiio.sadio.org.ar/sites/default/files/4_SII_2012.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-124569
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
spellingShingle Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
Avila, Luis
Martínez, Ernesto
Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
topic_facet Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
description The development of an artificial pancreas for the treatment of insulin-dependent diabetes is a big challenge for control theory. Many closed-loop algorithms have been widely evaluated for their ability to recreate, as closely as possible, glucose and insulin profiles observed in healthy individuals. Nevertheless, an artificial pancreas system also involves a critical necessity for supervision of the control loop functioning and the early detection of anomalies as well as performance deterioration. This work presents a performance monitoring approach using Bayesian surprise to fast detect functional degradation and guarantee adequate control of blood glucose levels. Bayesian surprise is significantly affected by any deviation from desired operation in a controlled system, which allows its use for continuous glucose monitoring.
format Objeto de conferencia
Objeto de conferencia
author Avila, Luis
Martínez, Ernesto
author_facet Avila, Luis
Martínez, Ernesto
author_sort Avila, Luis
title Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title_short Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title_full Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title_fullStr Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title_full_unstemmed Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title_sort continuous performance monitoring of a closed-loop insulin delivery system using bayesian surprise
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/124569
https://41jaiio.sadio.org.ar/sites/default/files/4_SII_2012.pdf
work_keys_str_mv AT avilaluis continuousperformancemonitoringofaclosedloopinsulindeliverysystemusingbayesiansurprise
AT martinezernesto continuousperformancemonitoringofaclosedloopinsulindeliverysystemusingbayesiansurprise
bdutipo_str Repositorios
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