Safety auxiliary feedback element for the artificial pancreas in type 1 diabetes

dc.contributor
Ministerio de Educación y Ciencia (Espanya)
dc.contributor
Ministerio de Ciencia e Innovación (Espanya)
dc.contributor.author
Revert Tomás, Ana
dc.contributor.author
Garelli, Fabricio
dc.contributor.author
Picó i Marco, Jesús
dc.contributor.author
Battista, Hernán de
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Rossetti, Paolo
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Vehí, Josep
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Bondia, Jorge
dc.date.accessioned
2024-06-18T14:38:36Z
dc.date.available
2024-06-18T14:38:36Z
dc.date.issued
info:eu-repo/date/embargoEnd/2026-01-01
dc.date.issued
info:eu-repo/date/embargoEnd/2026-01-01
dc.date.issued
2013-08-05
dc.identifier
http://hdl.handle.net/10256/11732
dc.identifier.uri
http://hdl.handle.net/10256/11732
dc.description.abstract
The artificial pancreas aims at the automatic delivery of insulin for glycemic control in patients with type 1 diabetes, i.e., closed-loop glucose control. One of the challenges of the artificial pancreas is to avoid controller overreaction leading to hypoglycemia, especially in the late postprandial period. In this study, an original proposal based on sliding mode reference conditioning ideas is presented as a way to reduce hypoglycemia events induced by a closed-loop glucose controller. The method is inspired in the intuitive advantages of two-step constrained control algorithms. It acts on the glucose reference sent to the main controller shaping it so as to avoid violating given constraints on the insulin-on-board. Some distinctive features of the proposed strategy are that 1) it provides a safety layer which can be adjusted according to medical criteria; 2) it can be added to closed-loop controllers of any nature; 3) it is robust against sensor failures and overestimated prandial insulin doses; and 4) it can handle nonlinear models. The method is evaluated in silico with the ten adult patients available in the FDA-accepted UVA simulator
dc.description.abstract
This work was supported in part by the FEDER-CICYT under Grant DPI2008-06880-C03-01, Grant DPI2011-28112-C04-01, and Grant DPI2010-20764-C02, in part by the European Union Seventh Framework Programme (FP7/2007-2013) under Grant FP7-PEOPLE-2009-IEF Ref 252085, and in part by the Argentinian Government under Grant ANPCyT PICT-2011-0888, Grant CONICET PIP112-2011-00361, and Grant UNLP I164. The work of A. Revert was supported by the Spanish Ministry of Science and Innovation fellowship under Grant FPI BES- 2009-020327
dc.format
application/pdf
dc.language
eng
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1109/TBME.2013.2247602
dc.relation
info:eu-repo/semantics/altIdentifier/issn/0018-9294
dc.relation
info:eu-repo/grantAgreement/MICINN//DPI2008-06880-C03-01/ES/MODELADO MULTIESCALA EN BIOLOGIA DE SISTEMAS. APLICACION A LA MONITORIZACION, OPTIMIZACION Y CONTROL DE BIOPROCESOS./
dc.relation
info:eu-repo/grantAgreement/MICINN//DPI2010-20764-C02-02/ES/NUEVAS ESTRATEGIAS DE CONTROL GLUCEMICO POSTPRANDIAL MEDIANTE TERAPIA CON BOMBA DE INSULINA EN DIABETES TIPO 1/
dc.rights
Tots els drets reservats
dc.rights
info:eu-repo/semantics/embargoedAccess
dc.source
© IEEE Transactions on Biomedical Engineering, 2013, vol. 60, núm. 8, p. 2113-2122
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Articles publicats (D-EEEiA)
dc.subject
Control intel·ligent
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Intelligent control systems
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Control automàtic
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Automatic control
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Hipoglucèmia
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Hypoglycemia
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Diabetis
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Diabetes
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Pàncrees artificial
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Artificial pancreas
dc.title
Safety auxiliary feedback element for the artificial pancreas in type 1 diabetes
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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