dc.creatorAvila, Luis
dc.creatorMartínez, Ernesto
dc.date2012-08
dc.date2012
dc.date2021-09-10T11:26:58Z
dc.date.accessioned2023-07-15T03:19:42Z
dc.date.available2023-07-15T03:19:42Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/124569
dc.identifierhttps://41jaiio.sadio.org.ar/sites/default/files/4_SII_2012.pdf
dc.identifierissn:2313-9102
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7465292
dc.descriptionThe 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format31-40
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectDiabetes
dc.subjectOptimal action selection
dc.subjectBayesian surprise
dc.subjectArtificial pancreas
dc.subjectContinuous performance monitoring
dc.titleContinuous Performance Monitoring of a Closed-Loop Insulin Delivery System using Bayesian Surprise
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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