Estrategias de control avanzadas para páncreas artificial
- Autores
- Fushimi, Emilia
- Año de publicación
- 2021
- Idioma
- español castellano
- Tipo de recurso
- tesis doctoral
- Estado
- versión aceptada
- Colaborador/a o director/a de tesis
- Garelli, Fabricio
De Battista, Hernán - Descripción
- Artificial Pancreas (AP) systems consist on a subcutaneous insulin pump connected to a continuous glucose monitor (CGM) through a control algorithm that calculates the appropriate insulin dose according to CGM readings. Though great research has been carried in this topic, there are still many limitations that make full closed-loop glycemic control challenging. These limitations include large delays in CGM readings and in the insulin action, intra and inter-patient variability, and the fact that there is no negative action to counteract insulin, among others. Here, several steps towards full closed-loop control are taken. First, hypoglycemia is mitigated using constant and time-varying IOB constraints in hybrid-loop and closed-loop controllers with meal announcement. Then, a switching signal generator is proposed in order to enable automatic switching between closed-loop controllers in a switched control scheme, thus eliminating the need for meal announcement. Lastly, a dual-hormone controller is presented in order to improve the performance achieved by a fully closed-loop, single-hormone control algorithm. Also, in the context of the COVID 19 pandemic, a remote monitoring platform is employed in order to monitor patients in the intensive care unit, thus reducing healthcare profesional exposure. Then, a closed-loop algorithm is tested in the first ambulatory artificial pancreas clinical trials in Argentina.
Doctor en Ingeniería
Universidad Nacional de La Plata
Facultad de Ingeniería - Materia
-
Ingeniería
Diabetes Mellitus Tipo 1
Páncreas Artificial
Control Automático - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
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- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/133534
Ver los metadatos del registro completo
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Estrategias de control avanzadas para páncreas artificialFushimi, EmiliaIngenieríaDiabetes Mellitus Tipo 1Páncreas ArtificialControl AutomáticoArtificial Pancreas (AP) systems consist on a subcutaneous insulin pump connected to a continuous glucose monitor (CGM) through a control algorithm that calculates the appropriate insulin dose according to CGM readings. Though great research has been carried in this topic, there are still many limitations that make full closed-loop glycemic control challenging. These limitations include large delays in CGM readings and in the insulin action, intra and inter-patient variability, and the fact that there is no negative action to counteract insulin, among others. Here, several steps towards full closed-loop control are taken. First, hypoglycemia is mitigated using constant and time-varying IOB constraints in hybrid-loop and closed-loop controllers with meal announcement. Then, a switching signal generator is proposed in order to enable automatic switching between closed-loop controllers in a switched control scheme, thus eliminating the need for meal announcement. Lastly, a dual-hormone controller is presented in order to improve the performance achieved by a fully closed-loop, single-hormone control algorithm. Also, in the context of the COVID 19 pandemic, a remote monitoring platform is employed in order to monitor patients in the intensive care unit, thus reducing healthcare profesional exposure. Then, a closed-loop algorithm is tested in the first ambulatory artificial pancreas clinical trials in Argentina.Doctor en IngenieríaUniversidad Nacional de La PlataFacultad de IngenieríaGarelli, FabricioDe Battista, Hernán2021-12-10info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionTesis de doctoradohttp://purl.org/coar/resource_type/c_db06info:ar-repo/semantics/tesisDoctoralapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/133534https://doi.org/10.35537/10915/133534spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:33:36Zoai:sedici.unlp.edu.ar:10915/133534Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:33:36.659SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Estrategias de control avanzadas para páncreas artificial |
| title |
Estrategias de control avanzadas para páncreas artificial |
| spellingShingle |
Estrategias de control avanzadas para páncreas artificial Fushimi, Emilia Ingeniería Diabetes Mellitus Tipo 1 Páncreas Artificial Control Automático |
| title_short |
Estrategias de control avanzadas para páncreas artificial |
| title_full |
Estrategias de control avanzadas para páncreas artificial |
| title_fullStr |
Estrategias de control avanzadas para páncreas artificial |
| title_full_unstemmed |
Estrategias de control avanzadas para páncreas artificial |
| title_sort |
Estrategias de control avanzadas para páncreas artificial |
| dc.creator.none.fl_str_mv |
Fushimi, Emilia |
| author |
Fushimi, Emilia |
| author_facet |
Fushimi, Emilia |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Garelli, Fabricio De Battista, Hernán |
| dc.subject.none.fl_str_mv |
Ingeniería Diabetes Mellitus Tipo 1 Páncreas Artificial Control Automático |
| topic |
Ingeniería Diabetes Mellitus Tipo 1 Páncreas Artificial Control Automático |
| dc.description.none.fl_txt_mv |
Artificial Pancreas (AP) systems consist on a subcutaneous insulin pump connected to a continuous glucose monitor (CGM) through a control algorithm that calculates the appropriate insulin dose according to CGM readings. Though great research has been carried in this topic, there are still many limitations that make full closed-loop glycemic control challenging. These limitations include large delays in CGM readings and in the insulin action, intra and inter-patient variability, and the fact that there is no negative action to counteract insulin, among others. Here, several steps towards full closed-loop control are taken. First, hypoglycemia is mitigated using constant and time-varying IOB constraints in hybrid-loop and closed-loop controllers with meal announcement. Then, a switching signal generator is proposed in order to enable automatic switching between closed-loop controllers in a switched control scheme, thus eliminating the need for meal announcement. Lastly, a dual-hormone controller is presented in order to improve the performance achieved by a fully closed-loop, single-hormone control algorithm. Also, in the context of the COVID 19 pandemic, a remote monitoring platform is employed in order to monitor patients in the intensive care unit, thus reducing healthcare profesional exposure. Then, a closed-loop algorithm is tested in the first ambulatory artificial pancreas clinical trials in Argentina. Doctor en Ingeniería Universidad Nacional de La Plata Facultad de Ingeniería |
| description |
Artificial Pancreas (AP) systems consist on a subcutaneous insulin pump connected to a continuous glucose monitor (CGM) through a control algorithm that calculates the appropriate insulin dose according to CGM readings. Though great research has been carried in this topic, there are still many limitations that make full closed-loop glycemic control challenging. These limitations include large delays in CGM readings and in the insulin action, intra and inter-patient variability, and the fact that there is no negative action to counteract insulin, among others. Here, several steps towards full closed-loop control are taken. First, hypoglycemia is mitigated using constant and time-varying IOB constraints in hybrid-loop and closed-loop controllers with meal announcement. Then, a switching signal generator is proposed in order to enable automatic switching between closed-loop controllers in a switched control scheme, thus eliminating the need for meal announcement. Lastly, a dual-hormone controller is presented in order to improve the performance achieved by a fully closed-loop, single-hormone control algorithm. Also, in the context of the COVID 19 pandemic, a remote monitoring platform is employed in order to monitor patients in the intensive care unit, thus reducing healthcare profesional exposure. Then, a closed-loop algorithm is tested in the first ambulatory artificial pancreas clinical trials in Argentina. |
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2021 |
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2021-12-10 |
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