Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia

Autores
Rivadeneira Paz, Pablo Santiago; Caicedo, Michelle A.; Sereno Mesa, Juan Esteban
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper examines the performance of two new closed-loop control strategies developed as part of the Artificial Pancreas project, this being the most promising treatment for type 1 diabetes mellitus. The first strategy uses a new version of the well-known proportional, integral and derivative control, developed to respect state and input positivity constraints. The second is a new formulation of model-based predictive control with an impulsive input. The strategies’ performance is evaluated with 50 virtual patients taken from the literature and the UVa/Padova metabolic simulator, approved by the US Food and Drug Administration. Also, a robustness analysis is added to evaluate the strategies under the parametric variations of the most important physiological parameters. The results show that both strategies have a good performance with low to moderate plant-model mismatch.
Fil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Caicedo, Michelle A.. Universidad Nacional de Colombia; Colombia
Fil: Sereno Mesa, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Artificial Pancreas
Diabetes Mellitus Type 1
Model Predictive Control
Performance
Pid Control
Robustness
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/81772
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Artificial pancreas: Glycemic control strategies for avoiding hypoglycemiaPáncreas artificial: Estrategias de control glucémico que evitan hipoglucemiaRivadeneira Paz, Pablo SantiagoCaicedo, Michelle A.Sereno Mesa, Juan EstebanArtificial PancreasDiabetes Mellitus Type 1Model Predictive ControlPerformancePid ControlRobustnesshttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2This paper examines the performance of two new closed-loop control strategies developed as part of the Artificial Pancreas project, this being the most promising treatment for type 1 diabetes mellitus. The first strategy uses a new version of the well-known proportional, integral and derivative control, developed to respect state and input positivity constraints. The second is a new formulation of model-based predictive control with an impulsive input. The strategies’ performance is evaluated with 50 virtual patients taken from the literature and the UVa/Padova metabolic simulator, approved by the US Food and Drug Administration. Also, a robustness analysis is added to evaluate the strategies under the parametric variations of the most important physiological parameters. The results show that both strategies have a good performance with low to moderate plant-model mismatch.Fil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Caicedo, Michelle A.. Universidad Nacional de Colombia; ColombiaFil: Sereno Mesa, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaUniversidad Nacional de Colombia2018-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81772Rivadeneira Paz, Pablo Santiago; Caicedo, Michelle A.; Sereno Mesa, Juan Esteban; Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia; Universidad Nacional de Colombia; Dyna; 85; 207; 10-2018; 198-2070012-7353CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.15446/dyna.v85n207.71535info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:25:25Zoai:ri.conicet.gov.ar:11336/81772instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:25:26.013CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
Páncreas artificial: Estrategias de control glucémico que evitan hipoglucemia
title Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
spellingShingle Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
Rivadeneira Paz, Pablo Santiago
Artificial Pancreas
Diabetes Mellitus Type 1
Model Predictive Control
Performance
Pid Control
Robustness
title_short Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
title_full Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
title_fullStr Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
title_full_unstemmed Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
title_sort Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia
dc.creator.none.fl_str_mv Rivadeneira Paz, Pablo Santiago
Caicedo, Michelle A.
Sereno Mesa, Juan Esteban
author Rivadeneira Paz, Pablo Santiago
author_facet Rivadeneira Paz, Pablo Santiago
Caicedo, Michelle A.
Sereno Mesa, Juan Esteban
author_role author
author2 Caicedo, Michelle A.
Sereno Mesa, Juan Esteban
author2_role author
author
dc.subject.none.fl_str_mv Artificial Pancreas
Diabetes Mellitus Type 1
Model Predictive Control
Performance
Pid Control
Robustness
topic Artificial Pancreas
Diabetes Mellitus Type 1
Model Predictive Control
Performance
Pid Control
Robustness
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper examines the performance of two new closed-loop control strategies developed as part of the Artificial Pancreas project, this being the most promising treatment for type 1 diabetes mellitus. The first strategy uses a new version of the well-known proportional, integral and derivative control, developed to respect state and input positivity constraints. The second is a new formulation of model-based predictive control with an impulsive input. The strategies’ performance is evaluated with 50 virtual patients taken from the literature and the UVa/Padova metabolic simulator, approved by the US Food and Drug Administration. Also, a robustness analysis is added to evaluate the strategies under the parametric variations of the most important physiological parameters. The results show that both strategies have a good performance with low to moderate plant-model mismatch.
Fil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Caicedo, Michelle A.. Universidad Nacional de Colombia; Colombia
Fil: Sereno Mesa, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description This paper examines the performance of two new closed-loop control strategies developed as part of the Artificial Pancreas project, this being the most promising treatment for type 1 diabetes mellitus. The first strategy uses a new version of the well-known proportional, integral and derivative control, developed to respect state and input positivity constraints. The second is a new formulation of model-based predictive control with an impulsive input. The strategies’ performance is evaluated with 50 virtual patients taken from the literature and the UVa/Padova metabolic simulator, approved by the US Food and Drug Administration. Also, a robustness analysis is added to evaluate the strategies under the parametric variations of the most important physiological parameters. The results show that both strategies have a good performance with low to moderate plant-model mismatch.
publishDate 2018
dc.date.none.fl_str_mv 2018-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/81772
Rivadeneira Paz, Pablo Santiago; Caicedo, Michelle A.; Sereno Mesa, Juan Esteban; Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia; Universidad Nacional de Colombia; Dyna; 85; 207; 10-2018; 198-207
0012-7353
CONICET Digital
CONICET
url http://hdl.handle.net/11336/81772
identifier_str_mv Rivadeneira Paz, Pablo Santiago; Caicedo, Michelle A.; Sereno Mesa, Juan Esteban; Artificial pancreas: Glycemic control strategies for avoiding hypoglycemia; Universidad Nacional de Colombia; Dyna; 85; 207; 10-2018; 198-207
0012-7353
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.15446/dyna.v85n207.71535
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Colombia
publisher.none.fl_str_mv Universidad Nacional de Colombia
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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