Sliding-mode disturbance observers for an artificial pancreas without meal announcement

[EN] Carbohydrate counting is not only a burden for patients with type 1 diabetes, but estimation errors in meal announcement could also degrade the outcomes of the current hybrid closed-loop systems. Therefore, removing meal announcement is desirable. A novel control system is addressed here to fac...

Full description

Bibliographic Details
Authors: Sala-Mira, Iván|||0000-0002-6228-5190, Diez, José-Luís|||0000-0002-5659-1212, Ricarte Benedito, Beatriz|||0000-0001-8094-1908, Bondía Company, Jorge|||0000-0001-7286-3719
Format: article
Publication Date:2019
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/159149
Online Access:https://riunet.upv.es/handle/10251/159149
Access Level:Open access
Keyword:Unannounced artificial pancreas
Sliding mode observer
Meal detection
Postprandial control
MATEMATICA APLICADA
INGENIERIA DE SISTEMAS Y AUTOMATICA
id ES_598b2bc2d2880199a18dbcd4d681b972
oai_identifier_str oai:riunet.upv.es:10251/159149
network_acronym_str ES
network_name_str España
repository_id_str
spelling Sliding-mode disturbance observers for an artificial pancreas without meal announcementSala-Mira, Iván|||0000-0002-6228-5190Diez, José-Luís|||0000-0002-5659-1212Ricarte Benedito, Beatriz|||0000-0001-8094-1908Bondía Company, Jorge|||0000-0001-7286-3719Unannounced artificial pancreasSliding mode observerMeal detectionPostprandial controlMATEMATICA APLICADAINGENIERIA DE SISTEMAS Y AUTOMATICA[EN] Carbohydrate counting is not only a burden for patients with type 1 diabetes, but estimation errors in meal announcement could also degrade the outcomes of the current hybrid closed-loop systems. Therefore, removing meal announcement is desirable. A novel control system is addressed here to face postprandial control without meal announcement. The proposed system grounds on two applications of the sliding mode observers in dealing with disturbances: first, the equivalent output technique is used to reconstruct the meal rate of glucose appearance via a first order sliding mode observer; second, a super-twisting -based residual generator is used to detect the meals. Subsequently, a bolusing algorithm uses the information of the two observers to trigger a series of boluses based on a proportional-derivative-like strategy. An in silico validation with 30 patients in a 30-day scenario reveals that the meal detector algorithm achieves a low rate of false positives per day (0.1 (0.1), mean (SD)) and a detection time of 28.5(6.2) min. Additionally, the bolusing algorithm fulfills a non-statistically different mean glucose than the hybrid counterpart with bolus misestimation (146.69 (12.20) mg/dLvs. 144.28 (11.01) mg/dL,p>0.05), without increasing hypoglycemia (0.029 (0.077) vs. 0.004 (0.014)%, p > 0,05), although at the expense of a slightly higher time in hyperglycemia (22.51(8.72) % vs. 18.65 (7.89)%, p <0.05) due to the conservative tuning of the bolusing algorithm for the sake of safety.This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) [grant number DPI2016-78831-C2-1-12]; the European Union [FEDER funds]: and Generalitat Valenciana [grant number ACIF/2017/021]ElsevierDepartamento de Ingeniería de Sistemas y AutomáticaDepartamento de Matemática AplicadaEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialInstituto Universitario de Matemática MultidisciplinarInstituto Universitario de Automática e Informática IndustrialEscuela Técnica Superior de Ingeniería IndustrialEscuela Técnica Superior de Ingeniería Agronómica y del Medio NaturalGeneralitat ValencianaEuropean Regional Development FundMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-06-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/159149reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2016-78831-C2-1-R SOLUCIONES PARA LA MEJORA DE LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL MEDIANTE ARQUITECTURAS DE CONTROL MULTIVARIABLE TOLERANTES A FALLOSGeneralitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2017%2F021open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1591492026-06-13T07:49:27Z
dc.title.none.fl_str_mv Sliding-mode disturbance observers for an artificial pancreas without meal announcement
title Sliding-mode disturbance observers for an artificial pancreas without meal announcement
spellingShingle Sliding-mode disturbance observers for an artificial pancreas without meal announcement
Sala-Mira, Iván|||0000-0002-6228-5190
Unannounced artificial pancreas
Sliding mode observer
Meal detection
Postprandial control
MATEMATICA APLICADA
INGENIERIA DE SISTEMAS Y AUTOMATICA
title_short Sliding-mode disturbance observers for an artificial pancreas without meal announcement
title_full Sliding-mode disturbance observers for an artificial pancreas without meal announcement
title_fullStr Sliding-mode disturbance observers for an artificial pancreas without meal announcement
title_full_unstemmed Sliding-mode disturbance observers for an artificial pancreas without meal announcement
title_sort Sliding-mode disturbance observers for an artificial pancreas without meal announcement
dc.creator.none.fl_str_mv Sala-Mira, Iván|||0000-0002-6228-5190
Diez, José-Luís|||0000-0002-5659-1212
Ricarte Benedito, Beatriz|||0000-0001-8094-1908
Bondía Company, Jorge|||0000-0001-7286-3719
author Sala-Mira, Iván|||0000-0002-6228-5190
author_facet Sala-Mira, Iván|||0000-0002-6228-5190
Diez, José-Luís|||0000-0002-5659-1212
Ricarte Benedito, Beatriz|||0000-0001-8094-1908
Bondía Company, Jorge|||0000-0001-7286-3719
author_role author
author2 Diez, José-Luís|||0000-0002-5659-1212
Ricarte Benedito, Beatriz|||0000-0001-8094-1908
Bondía Company, Jorge|||0000-0001-7286-3719
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería de Sistemas y Automática
Departamento de Matemática Aplicada
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Instituto Universitario de Matemática Multidisciplinar
Instituto Universitario de Automática e Informática Industrial
Escuela Técnica Superior de Ingeniería Industrial
Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural
Generalitat Valenciana
European Regional Development Fund
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Unannounced artificial pancreas
Sliding mode observer
Meal detection
Postprandial control
MATEMATICA APLICADA
INGENIERIA DE SISTEMAS Y AUTOMATICA
topic Unannounced artificial pancreas
Sliding mode observer
Meal detection
Postprandial control
MATEMATICA APLICADA
INGENIERIA DE SISTEMAS Y AUTOMATICA
description [EN] Carbohydrate counting is not only a burden for patients with type 1 diabetes, but estimation errors in meal announcement could also degrade the outcomes of the current hybrid closed-loop systems. Therefore, removing meal announcement is desirable. A novel control system is addressed here to face postprandial control without meal announcement. The proposed system grounds on two applications of the sliding mode observers in dealing with disturbances: first, the equivalent output technique is used to reconstruct the meal rate of glucose appearance via a first order sliding mode observer; second, a super-twisting -based residual generator is used to detect the meals. Subsequently, a bolusing algorithm uses the information of the two observers to trigger a series of boluses based on a proportional-derivative-like strategy. An in silico validation with 30 patients in a 30-day scenario reveals that the meal detector algorithm achieves a low rate of false positives per day (0.1 (0.1), mean (SD)) and a detection time of 28.5(6.2) min. Additionally, the bolusing algorithm fulfills a non-statistically different mean glucose than the hybrid counterpart with bolus misestimation (146.69 (12.20) mg/dLvs. 144.28 (11.01) mg/dL,p>0.05), without increasing hypoglycemia (0.029 (0.077) vs. 0.004 (0.014)%, p > 0,05), although at the expense of a slightly higher time in hyperglycemia (22.51(8.72) % vs. 18.65 (7.89)%, p <0.05) due to the conservative tuning of the bolusing algorithm for the sake of safety.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/159149
url https://riunet.upv.es/handle/10251/159149
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2016-78831-C2-1-R SOLUCIONES PARA LA MEJORA DE LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL MEDIANTE ARQUITECTURAS DE CONTROL MULTIVARIABLE TOLERANTES A FALLOS
Generalitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2017%2F021
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408621907935232
score 15.301629

Similar Items