- -

On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: A monotone systems approach

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: A monotone systems approach

Show simple item record

Files in this item

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 Bondía Company, Jorge es_ES
dc.date.accessioned 2015-06-10T07:06:46Z
dc.date.available 2015-06-10T07:06:46Z
dc.date.issued 2012-12
dc.identifier.issn 0169-2607
dc.identifier.uri http://hdl.handle.net/10251/51451
dc.description.abstract Insulin therapy in type 1 diabetes aims to mimic the pattern of endogenous insulin secretion found in healthy subjects. Glucose-insulin models are widely used in the development of new predictive control strategies in order to maintain the plasma glucose concentration within a narrow range, avoiding the risks of high or low levels of glucose in the blood. However, due to the high variability of this biological process, the exact values of the model parameters are unknown, but they can be bounded by intervals. In this work, the computation of tight glucose concentration bounds under parametric uncertainty for the development of robust prediction tools is addressed. A monotonicity analysis of the model states and parameters is performed. An analysis of critical points, state transformations and application of differential inequalities are proposed to deal with non-monotone parameters. In contrast to current methods, the guaranteed simulations for the glucose-insulin model are carried out by considering uncertainty in all the parameters and initial conditions. Furthermore, no time-discretisation is required, which helps to reduce the computational time significantly. As a result, we are able to compute a tight glucose envelope that bounds all the possible patient's glycemic responses with low computational effort. (C) 2012 Elsevier Ireland Ltd. All rights reserved. es_ES
dc.description.sponsorship This work was partially supported by the Spanish Ministerio de Ciencia e Innovacion through Grant DPI-2010-20764-C02, by the Universitat Politecnica de Valencia through Grant PAID-05-09-4334, and by the Generalitat Valenciana through Grant GV/2012/085. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministerio de Ciencia e Innovacion DPI-2010-20764-C02 es_ES
dc.relation Universitat Politecnica de Valencia PAID-05-09-4334 es_ES
dc.relation Generalitat Valenciana GV/2012/085 es_ES
dc.relation.ispartof Computer Methods and Programs in Biomedicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Compartmental models es_ES
dc.subject Interval simulation es_ES
dc.subject Glucose-insulin models es_ES
dc.subject Type 1 diabetes es_ES
dc.subject Blood glucose prediction es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: A monotone systems approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cmpb.2012.05.012
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària 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.; Bondía Company, J. (2012). On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: A monotone systems approach. Computer Methods and Programs in Biomedicine. 108(3):993-1001. doi:10.1016/j.cmpb.2012.05.012 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.cmpb.2012.05.012 es_ES
dc.description.upvformatpinicio 993 es_ES
dc.description.upvformatpfin 1001 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 108 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 234544


This item appears in the following Collection(s)

Show simple item record