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Real-time estimation of plasma insulin concentration from continuous glucose monitor measurements

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Real-time estimation of plasma insulin concentration from continuous glucose monitor measurements

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dc.contributor.author de Pereda Sebastián, Diego es_ES
dc.contributor.author Romero Vivó, Sergio es_ES
dc.contributor.author Ricarte Benedito, Beatriz es_ES
dc.contributor.author Rossetti, Paolo es_ES
dc.contributor.author Ampudia Blasco, Francisco Javier es_ES
dc.contributor.author Bondía Company, Jorge es_ES
dc.date.accessioned 2016-06-28T16:56:22Z
dc.date.available 2016-06-28T16:56:22Z
dc.date.issued 2015
dc.identifier.issn 1025-5842
dc.identifier.uri http://hdl.handle.net/10251/66699
dc.description.abstract Continuous glucose monitors can measure interstitial glucose concentration in real time for closed-loop glucose control systems, known as artificial pancreas. These control systems use an insulin feedback to maintain plasma glucose concentration within a narrow and safe range, and thus to avoid health complications. As it is not possible to measure plasma insulin concentration in real time, insulin models have been used in literature to estimate them. Nevertheless, the significant interand intra-patient variability of insulin absorption jeopardizes the accuracy of these estimations. In order to reduce these limitations, our objective is to perform a real-time estimation of plasma insulin concentration from continuous glucose monitoring (CGM). Hovorka s glucose insulin model has been incorporated in an extended Kalman filter in which different selected time-variant model parameters have been considered as extended states. The observability of the original Hovorka s model and of several extended models has been evaluated by their Lie derivatives. We have evaluated this methodology with an in-silico study with 100 patients with Type 1 diabetes during 25 h. Furthermore, it has been also validated using clinical data from 12 insulin pump patients with Type 1 diabetes who underwent four mixed meal studies. Real-time insulin estimations have been compared to plasma insulin measurements to assess performance showing the validity of the methodology here used in comparison with that formerly used for insulin models. Hence, real-time estimations for plasma insulin concentration based on subcutaneous glucose monitoring can be beneficial for increasing the efficiency of control algorithms for the artificial pancreas. es_ES
dc.description.sponsorship This work was partially supported by the Spanish Ministerio de Ciencia e Innovacion through Grant DPI-2010-20764-C02-01 and Grant DPI-2013-46982-C2-1-R, and the European Union through FEDER fund. en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Computer Methods in Biomechanics and Biomedical Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Extended Kalman filter es_ES
dc.subject Insulin estimation es_ES
dc.subject Glucose insulin models es_ES
dc.subject Type 1 diabetes es_ES
dc.subject Artificial pancreas es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Real-time estimation of plasma insulin concentration from continuous glucose monitor measurements es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/10255842.2015.1077234
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2010-20764-C02-01/ES/NUEVAS ESTRATEGIAS DE CONTROL GLUCEMICO POSTPRANDIAL MEDIANTE TERAPIA CON BOMBA DE INSULINA EN DIABETES TIPO 1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-1-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada 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 De Pereda Sebastián, D.; Romero Vivó, S.; Ricarte Benedito, B.; Rossetti, P.; Ampudia Blasco, FJ.; Bondía Company, J. (2015). Real-time estimation of plasma insulin concentration from continuous glucose monitor measurements. Computer Methods in Biomechanics and Biomedical Engineering. Sep:1-9. https://doi.org/10.1080/10255842.2015.1077234 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/10255842.2015.1077234 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume Sep es_ES
dc.relation.senia 302633 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder European Regional Development Fund es_ES


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