Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise

Autores
Avila, Luis Omar; Martínez, Ernesto Carlos
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The development of an artificial pancreas for the treatment of insulindependent 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.
Fil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
DIABETES
CONTINUOUS PERFORMANCE MONITORING
BAYESIAN SURPRISE
ARTIFICIAL PANCREAS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/70281
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/70281
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian SurpriseAvila, Luis OmarMartínez, Ernesto CarlosDIABETESCONTINUOUS PERFORMANCE MONITORINGBAYESIAN SURPRISEARTIFICIAL PANCREAShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The development of an artificial pancreas for the treatment of insulindependent 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.Fil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaQUALIS CAPES (UFSC)2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70281Avila, Luis Omar; Martínez, Ernesto Carlos; Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise; QUALIS CAPES (UFSC); Iberoamerican Journal of Industrial Engineering; 4; 8; 10-2012; 69-812175-8018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.incubadora.ufsc.br/index.php/IJIE/issue/view/410/showTocinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:34:55Zoai:ri.conicet.gov.ar:11336/70281instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:34:55.476CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 Omar
DIABETES
CONTINUOUS PERFORMANCE MONITORING
BAYESIAN SURPRISE
ARTIFICIAL PANCREAS
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 Omar
Martínez, Ernesto Carlos
author Avila, Luis Omar
author_facet Avila, Luis Omar
Martínez, Ernesto Carlos
author_role author
author2 Martínez, Ernesto Carlos
author2_role author
dc.subject.none.fl_str_mv DIABETES
CONTINUOUS PERFORMANCE MONITORING
BAYESIAN SURPRISE
ARTIFICIAL PANCREAS
topic DIABETES
CONTINUOUS PERFORMANCE MONITORING
BAYESIAN SURPRISE
ARTIFICIAL PANCREAS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The development of an artificial pancreas for the treatment of insulindependent 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.
Fil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description The development of an artificial pancreas for the treatment of insulindependent 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 2012-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/70281
Avila, Luis Omar; Martínez, Ernesto Carlos; Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise; QUALIS CAPES (UFSC); Iberoamerican Journal of Industrial Engineering; 4; 8; 10-2012; 69-81
2175-8018
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70281
identifier_str_mv Avila, Luis Omar; Martínez, Ernesto Carlos; Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise; QUALIS CAPES (UFSC); Iberoamerican Journal of Industrial Engineering; 4; 8; 10-2012; 69-81
2175-8018
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.incubadora.ufsc.br/index.php/IJIE/issue/view/410/showToc
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv QUALIS CAPES (UFSC)
publisher.none.fl_str_mv QUALIS CAPES (UFSC)
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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