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dc.date.accessioned 2020-04-16T19:16:06Z
dc.date.available 2020-04-16T19:16:06Z
dc.date.issued 2013
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/93599
dc.description.abstract The integration of subcutaneous sensing and insulin delivery technologies with novel control strategies has brought closer the development of the Artificial Pancreas. Nevertheless, thought recent developments are aimed at preventing chronic complications and less patient discomfort, few works have addressed the critical issue of performance monitoring of the artificial pancreas as well as detection of abnormal functioning in any of its components. This work presents an anomaly detection monitoring tool using the widely known Clarke Error-Grid to identify functional degradation in the artificial pancreas components and guarantee safetycritical control of blood glucose levels. The effect of imperfect calibration of glucose sensors, time lag between blood glucose concentration and interstitial glucose readings, and excessive variability in glucose levels are evaluated against an expected behavior of the glucose regulation loop achieved through an optimal control policy. Results obtained evidence the feasibility of this novel use of the Clarke error grid as a comprehensive monitoring tool for the artificial pancreas. en
dc.format.extent 22-30 es
dc.language en es
dc.subject Artificial pancreas es
dc.subject Glucose Monitoring es
dc.subject Clarke EGA es
dc.subject Performance Degradation es
dc.subject Diabetes Management es
dc.title Anomaly Detection in the Artificial Pancreas en
dc.type Objeto de conferencia es
sedici.identifier.issn 1853-1881 es
sedici.creator.person Avila, Luis es
sedici.creator.person Martínez, Ernesto es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2013-09
sedici.relation.event IV Congreso Argentino de Informática y Salud (CAIS) - JAIIO 42 (2013) es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)