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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/70281
Ver los metadatos del registro completo
id |
CONICETDig_64cfb77198337701976106743ab95f1e |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/70281 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
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 Técnicas2025-09-29T10:05:13Zoai: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:34982025-09-29 10:05:14.019CONICET 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 |
_version_ |
1844613886324506624 |
score |
13.070432 |