A grid-based tool for optimal performance monitoring of a glycemic regulator

Autores
Martinez, Ernesto Carlos; Avila, Luis Omar
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Recent technology breakthroughs towards a fully automated artificial pancreas give rise to the need of new monitoring tools aiming at increasing both reliability and performance of a closed-loop glycemic regulator. Based on error grid analysis (EGA), an insightful monitoring tool is proposed to assess if a given closed-loop implementation respects its specification of an optimally performing glycemic regulator under uncertainty. The optimal behavior specification is obtained using Linearly Solvable Markov Decision Processes (LSMDP) whereby the Bellman optimality equation is made linear through an exponential transformation which allows obtaining the optimal control policy in an explicit form. The specification for the desired glucose dynamics is learned using Gaussian processes for state transitions in an optimally performing artificial pancreas. By means of the proposed grid, the specification is vis-à-vis compared to glucose sensor readings so that any significant deviation from the expected closed-loop performance under abnormal or faulty scenarios can be detected.
Fil: Martinez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Materia
Artificial Pancreas
Optimal Control Applications
Performance Monitoring
Stochastic Optimal Control
Type 1 Diabetes
Uncertain Systems
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:11336/6889
Acceder
id CONICETDig_ef17bc730c5573f759826813621fe1be
oai_identifier_str oai:ri.conicet.gov.ar:11336/6889
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A grid-based tool for optimal performance monitoring of a glycemic regulatorMartinez, Ernesto CarlosAvila, Luis OmarArtificial PancreasOptimal Control ApplicationsPerformance MonitoringStochastic Optimal ControlType 1 DiabetesUncertain Systemshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Recent technology breakthroughs towards a fully automated artificial pancreas give rise to the need of new monitoring tools aiming at increasing both reliability and performance of a closed-loop glycemic regulator. Based on error grid analysis (EGA), an insightful monitoring tool is proposed to assess if a given closed-loop implementation respects its specification of an optimally performing glycemic regulator under uncertainty. The optimal behavior specification is obtained using Linearly Solvable Markov Decision Processes (LSMDP) whereby the Bellman optimality equation is made linear through an exponential transformation which allows obtaining the optimal control policy in an explicit form. The specification for the desired glucose dynamics is learned using Gaussian processes for state transitions in an optimally performing artificial pancreas. By means of the proposed grid, the specification is vis-à-vis compared to glucose sensor readings so that any significant deviation from the expected closed-loop performance under abnormal or faulty scenarios can be detected.Fil: Martinez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaWiley2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6889Martinez, Ernesto Carlos; Avila, Luis Omar; A grid-based tool for optimal performance monitoring of a glycemic regulator; Wiley; Optimal Control Applications & Methods; 10-20150143-2087enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/oca.2220/abstractinfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1002/oca.2220info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:32:04Zoai:ri.conicet.gov.ar:11336/6889instacron: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:34982025-10-15 14:32:04.648CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A grid-based tool for optimal performance monitoring of a glycemic regulator
title A grid-based tool for optimal performance monitoring of a glycemic regulator
spellingShingle A grid-based tool for optimal performance monitoring of a glycemic regulator
Martinez, Ernesto Carlos
Artificial Pancreas
Optimal Control Applications
Performance Monitoring
Stochastic Optimal Control
Type 1 Diabetes
Uncertain Systems
title_short A grid-based tool for optimal performance monitoring of a glycemic regulator
title_full A grid-based tool for optimal performance monitoring of a glycemic regulator
title_fullStr A grid-based tool for optimal performance monitoring of a glycemic regulator
title_full_unstemmed A grid-based tool for optimal performance monitoring of a glycemic regulator
title_sort A grid-based tool for optimal performance monitoring of a glycemic regulator
dc.creator.none.fl_str_mv Martinez, Ernesto Carlos
Avila, Luis Omar
author Martinez, Ernesto Carlos
author_facet Martinez, Ernesto Carlos
Avila, Luis Omar
author_role author
author2 Avila, Luis Omar
author2_role author
dc.subject.none.fl_str_mv Artificial Pancreas
Optimal Control Applications
Performance Monitoring
Stochastic Optimal Control
Type 1 Diabetes
Uncertain Systems
topic Artificial Pancreas
Optimal Control Applications
Performance Monitoring
Stochastic Optimal Control
Type 1 Diabetes
Uncertain Systems
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Recent technology breakthroughs towards a fully automated artificial pancreas give rise to the need of new monitoring tools aiming at increasing both reliability and performance of a closed-loop glycemic regulator. Based on error grid analysis (EGA), an insightful monitoring tool is proposed to assess if a given closed-loop implementation respects its specification of an optimally performing glycemic regulator under uncertainty. The optimal behavior specification is obtained using Linearly Solvable Markov Decision Processes (LSMDP) whereby the Bellman optimality equation is made linear through an exponential transformation which allows obtaining the optimal control policy in an explicit form. The specification for the desired glucose dynamics is learned using Gaussian processes for state transitions in an optimally performing artificial pancreas. By means of the proposed grid, the specification is vis-à-vis compared to glucose sensor readings so that any significant deviation from the expected closed-loop performance under abnormal or faulty scenarios can be detected.
Fil: Martinez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Avila, Luis Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
description Recent technology breakthroughs towards a fully automated artificial pancreas give rise to the need of new monitoring tools aiming at increasing both reliability and performance of a closed-loop glycemic regulator. Based on error grid analysis (EGA), an insightful monitoring tool is proposed to assess if a given closed-loop implementation respects its specification of an optimally performing glycemic regulator under uncertainty. The optimal behavior specification is obtained using Linearly Solvable Markov Decision Processes (LSMDP) whereby the Bellman optimality equation is made linear through an exponential transformation which allows obtaining the optimal control policy in an explicit form. The specification for the desired glucose dynamics is learned using Gaussian processes for state transitions in an optimally performing artificial pancreas. By means of the proposed grid, the specification is vis-à-vis compared to glucose sensor readings so that any significant deviation from the expected closed-loop performance under abnormal or faulty scenarios can be detected.
publishDate 2015
dc.date.none.fl_str_mv 2015-10
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/11336/6889
Martinez, Ernesto Carlos; Avila, Luis Omar; A grid-based tool for optimal performance monitoring of a glycemic regulator; Wiley; Optimal Control Applications & Methods; 10-2015
0143-2087
url http://hdl.handle.net/11336/6889
identifier_str_mv Martinez, Ernesto Carlos; Avila, Luis Omar; A grid-based tool for optimal performance monitoring of a glycemic regulator; Wiley; Optimal Control Applications & Methods; 10-2015
0143-2087
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/oca.2220/abstract
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1002/oca.2220
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
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
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
_version_ 1846082808081022976
score 13.22299

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