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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6889
Ver los metadatos del registro completo
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 Técnicas2025-09-29T09:42:05Zoai: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:34982025-09-29 09:42:05.982CONICET 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_ |
1844613326603026432 |
score |
13.070432 |