Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints
- Autores
- Fushimi, Emilia; Serafini, María Cecilia; Sánchez Peña, Ricardo; De Battista, Hernan; Garelli, Fabricio
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión enviada
- Descripción
- Arti cial pancreas (AP) systems have shown to improve glucose regulation in type 1 diabetes (T1D) patients. However, full closed-loop performance remains a challenge particularly in children and adolescents, since these age groups often present the worst glycemic control. In this work, a new algorithm based on switched control and time-varying insulin-on-board (IOB) constraints is presented (ARGAE). This method is a combination of ideas from the previously introduced Automatic Regulation of Glucose (ARG) algorithm, which features no pre-meal insulin boluses, and the Amplitude Enable (AE) mode, which allows the controller to act more aggressively at the beginning of meal intake without risking postprandial hypoglycemia. The proposed control strategy is evaluated in silico and its performance contrasted with the ARG algorithm in the pediatric population. Results show that the ARGAE presents improved performance compared to the ARG algorithm even in presence of misclassi ed meals. Thus, future in vivo testing will involve the AE con guration.
- Materia
-
Ciencias de la Salud
Switched control
Sliding mode
Non-linear control systems
Biological and medical systems
Artificial Pancreas - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10805
Ver los metadatos del registro completo
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Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraintsFushimi, EmiliaSerafini, María CeciliaSánchez Peña, RicardoDe Battista, HernanGarelli, FabricioCiencias de la SaludSwitched controlSliding modeNon-linear control systemsBiological and medical systemsArtificial PancreasArti cial pancreas (AP) systems have shown to improve glucose regulation in type 1 diabetes (T1D) patients. However, full closed-loop performance remains a challenge particularly in children and adolescents, since these age groups often present the worst glycemic control. In this work, a new algorithm based on switched control and time-varying insulin-on-board (IOB) constraints is presented (ARGAE). This method is a combination of ideas from the previously introduced Automatic Regulation of Glucose (ARG) algorithm, which features no pre-meal insulin boluses, and the Amplitude Enable (AE) mode, which allows the controller to act more aggressively at the beginning of meal intake without risking postprandial hypoglycemia. The proposed control strategy is evaluated in silico and its performance contrasted with the ARG algorithm in the pediatric population. Results show that the ARGAE presents improved performance compared to the ARG algorithm even in presence of misclassi ed meals. Thus, future in vivo testing will involve the AE con guration.2020-07-17info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10805enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:48Zoai:digital.cic.gba.gob.ar:11746/10805Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:48.662CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
title |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
spellingShingle |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints Fushimi, Emilia Ciencias de la Salud Switched control Sliding mode Non-linear control systems Biological and medical systems Artificial Pancreas |
title_short |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
title_full |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
title_fullStr |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
title_full_unstemmed |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
title_sort |
Pediatric glucose regulation without pre-meal insulin boluses: an approach based on switched control and time-varying IOB constraints |
dc.creator.none.fl_str_mv |
Fushimi, Emilia Serafini, María Cecilia Sánchez Peña, Ricardo De Battista, Hernan Garelli, Fabricio |
author |
Fushimi, Emilia |
author_facet |
Fushimi, Emilia Serafini, María Cecilia Sánchez Peña, Ricardo De Battista, Hernan Garelli, Fabricio |
author_role |
author |
author2 |
Serafini, María Cecilia Sánchez Peña, Ricardo De Battista, Hernan Garelli, Fabricio |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Salud Switched control Sliding mode Non-linear control systems Biological and medical systems Artificial Pancreas |
topic |
Ciencias de la Salud Switched control Sliding mode Non-linear control systems Biological and medical systems Artificial Pancreas |
dc.description.none.fl_txt_mv |
Arti cial pancreas (AP) systems have shown to improve glucose regulation in type 1 diabetes (T1D) patients. However, full closed-loop performance remains a challenge particularly in children and adolescents, since these age groups often present the worst glycemic control. In this work, a new algorithm based on switched control and time-varying insulin-on-board (IOB) constraints is presented (ARGAE). This method is a combination of ideas from the previously introduced Automatic Regulation of Glucose (ARG) algorithm, which features no pre-meal insulin boluses, and the Amplitude Enable (AE) mode, which allows the controller to act more aggressively at the beginning of meal intake without risking postprandial hypoglycemia. The proposed control strategy is evaluated in silico and its performance contrasted with the ARG algorithm in the pediatric population. Results show that the ARGAE presents improved performance compared to the ARG algorithm even in presence of misclassi ed meals. Thus, future in vivo testing will involve the AE con guration. |
description |
Arti cial pancreas (AP) systems have shown to improve glucose regulation in type 1 diabetes (T1D) patients. However, full closed-loop performance remains a challenge particularly in children and adolescents, since these age groups often present the worst glycemic control. In this work, a new algorithm based on switched control and time-varying insulin-on-board (IOB) constraints is presented (ARGAE). This method is a combination of ideas from the previously introduced Automatic Regulation of Glucose (ARG) algorithm, which features no pre-meal insulin boluses, and the Amplitude Enable (AE) mode, which allows the controller to act more aggressively at the beginning of meal intake without risking postprandial hypoglycemia. The proposed control strategy is evaluated in silico and its performance contrasted with the ARG algorithm in the pediatric population. Results show that the ARGAE presents improved performance compared to the ARG algorithm even in presence of misclassi ed meals. Thus, future in vivo testing will involve the AE con guration. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-17 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/submittedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
submittedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10805 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10805 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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1844618577502535680 |
score |
13.070432 |