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

Autores
Avila, Luis; Martínez, Ernesto
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/124569
Acceder
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network_name_str SEDICI (UNLP)
spelling Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian SurpriseAvila, LuisMartínez, ErnestoCiencias InformáticasDiabetesOptimal action selectionBayesian surpriseArtificial pancreasContinuous performance monitoringThe 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.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf31-40http://sedici.unlp.edu.ar/handle/10915/124569enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/4_SII_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/2313-9102info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:10:54Zoai:sedici.unlp.edu.ar:10915/124569Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:10:54.454SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
title Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
spellingShingle Continuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
Avila, Luis
Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
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
dc.creator.none.fl_str_mv Avila, Luis
Martínez, Ernesto
author Avila, Luis
author_facet Avila, Luis
Martínez, Ernesto
author_role author
author2 Martínez, Ernesto
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
topic Ciencias Informáticas
Diabetes
Optimal action selection
Bayesian surprise
Artificial pancreas
Continuous performance monitoring
dc.description.none.fl_txt_mv 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.
Sociedad Argentina de Informática e Investigación Operativa
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.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/124569
url http://sedici.unlp.edu.ar/handle/10915/124569
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2313-9102
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
31-40
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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