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dc.contributor.author
Colmegna, Patricio Hernán
dc.contributor.author
Bianchi, Fernando Daniel
dc.contributor.author
Sanchez Peña, Ricardo Salvador
dc.date.available
2022-04-12T18:28:41Z
dc.date.issued
2021-11
dc.identifier.citation
Colmegna, Patricio Hernán; Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador; Automatic Glucose Control during Meals and Exercise in Type 1 Diabetes: Proof-of-Concept in Silico Tests Using a Switched LPV Approach; Institute of Electrical and Electronics Engineers; IEEE Control Systems Letters; 5; 5; 11-2021; 1489-1494
dc.identifier.issn
2475-1456
dc.identifier.uri
http://hdl.handle.net/11336/155074
dc.description.abstract
Keeping the blood glucose levels within the safe range during meals and exercise still represents a major hurdle not only for patients with type 1 diabetes (T1D), but also for Artificial Pancreas (AP) systems. One of the reasons a fully (autonomous) closed-loop solution has not been released onto the market yet is the slow action of current insulin analogs. To partially overcome this limitation, the authors have previously designed a switched control strategy equipped with an insulin-on-board (IOB) safety loop that mitigates meal-related glucose excursions without carbohydrate counting. In this letter, a similar strategy based on a Linear Parameter-Varying (LPV) control law has been adapted to safely handle also exercise challenges with minimum user intervention. In silico results using the UVA/Padova simulator evidence that the proposed closed-loop scheme is feasible under moderate-intense exercise bouts by effectively and safely reducing the risk of hypoglycemia.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/embargoedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARTIFICIAL PANCREAS
dc.subject
PHYSICAL ACTIVITY
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SWITCHED LPV CONTROL
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UNANNOUNCED MEALS
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Control Automático y Robótica
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Automatic Glucose Control during Meals and Exercise in Type 1 Diabetes: Proof-of-Concept in Silico Tests Using a Switched LPV Approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-04-07T21:03:24Z
dc.identifier.eissn
2475-1456
dc.journal.volume
5
dc.journal.number
5
dc.journal.pagination
1489-1494
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Colmegna, Patricio Hernán. University of Virginia; Estados Unidos. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Cronobiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Bianchi, Fernando Daniel. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires. Departamento de Matemática. Centro de Sistemas y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
IEEE Control Systems Letters
dc.rights.embargoDate
2022-05-01
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9273055
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/LCSYS.2020.3041211
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