Sanz Diaz, R.; García Gil, PJ.; Diez, J.; Bondía Company, J. (2021). Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation. IEEE Transactions on Control Systems Technology. 29(1):454-460. https://doi.org/10.1109/TCST.2020.2975147
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/171219
Title:
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Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation
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Author:
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Sanz Diaz, Ricardo
García Gil, Pedro José
Diez, José-Luís
Bondía Company, Jorge
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
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Issued date:
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Abstract:
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[EN] This brief is focused on the closed-loop control of postprandial glucose levels of patients with type 1 diabetes mellitus after unannounced meals, which is still a major challenge toward a fully autonomous artificial ...[+]
[EN] This brief is focused on the closed-loop control of postprandial glucose levels of patients with type 1 diabetes mellitus after unannounced meals, which is still a major challenge toward a fully autonomous artificial pancreas. The main limitations are the delays introduced by the subcutaneous insulin pharmacokinetics and the glucose sensor, which typically leads to insulin overdelivery. Current solutions reported in the literature typically resort to meal announcement, which requires patient intervention. In this brief, a disturbance observer (DOB) is used to estimate the effect of unannounced meals, and the insulin pharmacokinetics is taken into account by means of a feedforward compensator. The proposed strategy is validated in silico with the UVa/Padova metabolic simulator. It is demonstrated how the DOB successfully estimates and counteracts not only the effect of meals but also the sudden drops in the glucose levels that may lead to hypoglycemia. For unannounced meals, results show a median time-in-range of 80% in a 30-day scenario with high carbohydrate content and large intrasubject variability. Optionally, users may decide to announce meals. In this case, considering severe bolus mismatch due to carbohydrate counting errors, the median time-in-range is increased up to 88%. In every case, hypoglycemia is avoided.
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Subjects:
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Insulin
,
Sugar
,
Adaptation models
,
Mathematical model
,
Feedforward systems
,
Diabetes
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Pancreas
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Artificial pancreas (AP)
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Disturbance observer (DOB)
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Feedforward compensation
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Type 1 diabetes
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Copyrigths:
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Reserva de todos los derechos
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Source:
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IEEE Transactions on Control Systems Technology. (issn:
1063-6536
)
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DOI:
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10.1109/TCST.2020.2975147
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Publisher:
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Institute of Electrical and Electronics Engineers
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Publisher version:
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https://doi.org/10.1109/TCST.2020.2975147
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Project ID:
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info:eu-repo/grantAgreement/UPV//PAID-10-19/
info:eu-repo/grantAgreement/MINECO//DPI2016-78831-C2-1-R/ES/SOLUCIONES PARA LA MEJORA DE LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL MEDIANTE ARQUITECTURAS DE CONTROL MULTIVARIABLE TOLERANTES A FALLOS/
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Description:
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© 2021 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Thanks:
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This work was supported in part by the Ministerio de Economia y Competitividad under Grant DPI2016-78831-C2-1-R and in part by the European Union through FEDER Funds.
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Type:
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Artículo
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