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dc.contributor.author | Beneyto, Aleix | es_ES |
dc.contributor.author | Bertachi, Arthur | es_ES |
dc.contributor.author | Bondía Company, Jorge | es_ES |
dc.contributor.author | Vehí, Josep | es_ES |
dc.date.accessioned | 2020-04-17T12:48:37Z | |
dc.date.available | 2020-04-17T12:48:37Z | |
dc.date.issued | 2020-03 | es_ES |
dc.identifier.issn | 1063-6536 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/140854 | |
dc.description.abstract | [EN] The artificial pancreas (AP) system or closed-loop blood glucose (BG) regulation is a technological advancement that aims to relieve diabetic subjects from their current decision-making burden while tightening their BG levels. However, large disturbances such as meals and exercise still pose great challenges to a fully closed-loop system. In this paper, the problem of BG regulation with unannounced physical activity for type 1 diabetic subjects is addressed. We use a coordinated control strategy with insulin infusion and extra carbohydrates (CHO) for hypoglycemia avoidance. The insulin algorithm is based on a proportional-derivative controller with insulin feedback and the so-called safety auxiliary feedback element (SAFE) layer, and the algorithm for CHO is based on a predictive, quantified proportional-derivative controller. The UVa/Padua simulator glucose-insulin model is modified to include the effects of physical activity and is used to test the new AP. We consider scenarios where the subject does not announce physical activity and with challenging meals. Then, we analyze the performance and robustness of the combined insulin and CHO recommender system and compare them to the insulin-only controller. The simulation results show that the new AP system is able to mitigate daily hypoglycemia episodes (0.9 versus 0.2, p < 0.01) and increase the time in range during day (91.5% versus 92.4%, p < 0.01) without increasing the time above 180 mg/dl (6.3% versus 6.4%, p > 0.05). | es_ES |
dc.description.sponsorship | This work was supported in part by the Ministerio de Economia, Industria y Competitividad under Grant DPI2016-78831-C2-1-R and Grant DPI2016-78831-C2-2-R, in part by the Autonomous Government of Catalonia under Grant 2017 SGR 1551, in part by the Ministerio de Educacion, Cultura y Deporte under Grant FPU0244 2015, in part by the National Counsel of Technological and Scientific Development, CNPq, Brazil, under Grant 207688/2014-1, and in part EU through FEDER funds. Recommended by Associate Editor D. E. Rivera. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Transactions on Control Systems Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Artificial pancreas | es_ES |
dc.subject | Blood glucose (BG) control | es_ES |
dc.subject | Carbohydrates (CHO) | es_ES |
dc.subject | Insulin | es_ES |
dc.subject | Physical activity | es_ES |
dc.subject | Proportional derivative (PD) | es_ES |
dc.subject | Recursive least squares | es_ES |
dc.subject | Sliding mode reference conditioning (SMRC) | es_ES |
dc.subject | Type 1 diabetes | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/TCST.2018.2878205 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2016-78831-C2-2-R/ES/SOLUCIONES PARA LA MEJORA DE LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL MEDIANTE ARQUITECTURAS DE CONTROL MULTIVARIABLE TOLERANTES A FALLOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU0244 2015 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Generalitat de Catalunya//2017 SGR 1551/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CNPq//207688%2F2014-1/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2016-78831-C2-1-R/ES/SOLUCIONES PARA LA MEJORA DE LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL MEDIANTE ARQUITECTURAS DE CONTROL MULTIVARIABLE TOLERANTES A FALLOS/ | es_ES |
dc.rights.accessRights | Cerrado | 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 | Beneyto, A.; Bertachi, A.; Bondía Company, J.; Vehí, J. (2020). A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects. IEEE Transactions on Control Systems Technology. 28(2):593-600. https://doi.org/10.1109/TCST.2018.2878205 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/TCST.2018.2878205 | es_ES |
dc.description.upvformatpinicio | 593 | es_ES |
dc.description.upvformatpfin | 600 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 28 | es_ES |
dc.description.issue | 2 | es_ES |
dc.relation.pasarela | S\386330 | es_ES |
dc.contributor.funder | Generalitat de Catalunya | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | es_ES |
dc.contributor.funder | Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |