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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/124569
Ver los metadatos del registro completo
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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:UNLP2025-09-29T11:29:59Zoai: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:13292025-09-29 11:29:59.49SEDICI (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 http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/124569 |
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http://sedici.unlp.edu.ar/handle/10915/124569 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/4_SII_2012.pdf 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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 31-40 |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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13.070432 |