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Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring

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Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring

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dc.contributor.author Ramkissoon, C.M. es_ES
dc.contributor.author Herrero, Pau es_ES
dc.contributor.author Bondía Company, Jorge es_ES
dc.contributor.author Vehí, Josep es_ES
dc.date.accessioned 2020-07-02T06:51:04Z
dc.date.available 2020-07-02T06:51:04Z
dc.date.issued 2018-03-16 es_ES
dc.identifier.uri http://hdl.handle.net/10251/147321
dc.description.abstract [EN] The artificial pancreas (AP) system is designed to regulate blood glucose in subjects with type 1 diabetes using a continuous glucose monitor informed controller that adjusts insulin infusion via an insulin pump. However, current AP developments are mainly hybrid closed-loop systems that include feed-forward actions triggered by the announcement of meals or exercise. The first step to fully closing the loop in the AP requires removing meal announcement, which is currently the most effective way to alleviate postprandial hyperglycemia due to the delay in insulin action. Here, a novel approach to meal detection in the AP is presented using a sliding window and computing the normalized cross-covariance between measured glucose and the forward difference of a disturbance term, estimated from an augmented minimal model using an Unscented Kalman Filter. Three different tunings were applied to the samemeal detection algorithm: (1) a high sensitivity tuning, (2) a trade-off tuning that has a high amount of meals detected and a low amount of false positives (FP), and (3) a low FP tuning. For the three tunings sensitivities 99 +/- 2%, 93 +/- 5%, and 47 +/- 12% were achieved, respectively. A sensitivity analysis was also performed and found that higher carbohydrate quantities and faster rates of glucose appearance result in favorable meal detection outcomes. es_ES
dc.description.sponsorship This work was funded by the Spanish Government through grants DPI2016-78831-C2-1-R and DPI2016-78831-C2-2-R, the University of Girona through grant BR2014/51, and the European Union through Fondo Europeo de Desarrollo Regional (FEDER) Funds. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation UdG/BR2014/51 es_ES
dc.relation MINECO/DPI2016-78831-C2-2-R es_ES
dc.relation AEI/DPI2016-78831-C2-1-R es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Meal detection es_ES
dc.subject Artificial pancreas es_ES
dc.subject Unannounced meals es_ES
dc.subject Type 1 diabetes es_ES
dc.subject Physiological models es_ES
dc.subject Unscented Kalman Filter es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s18030884 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Ramkissoon, C.; Herrero, P.; Bondía Company, J.; Vehí, J. (2018). Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring. Sensors. 18(3):1-18. https://doi.org/10.3390/s18030884 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s18030884 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 29547553 es_ES
dc.identifier.pmcid PMC5876595 es_ES
dc.relation.pasarela S\386355 es_ES
dc.contributor.funder Universitat de Girona es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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