Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery

Background: The efficacy of the treatment of type 1 diabetes can be markedly improved using artificial pancreas (AP), which is a technology to automatically control blood glucose levels. Aim: In this paper, we propose the construction of a controller for controlling the automated delivery of insuli...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Vladimir A. Karpelyev, Yury I. Philippov, Artem V. Averin, Maxim D. Boyarsky, Dmitriy A. Gavrilov
Formato: article
Lenguaje:EN
RU
Publicado: Endocrinology Research Centre 2018
Materias:
Acceso en línea:https://doaj.org/article/bc4e861935e44709905fd92bbd72ef64
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bc4e861935e44709905fd92bbd72ef64
record_format dspace
spelling oai:doaj.org-article:bc4e861935e44709905fd92bbd72ef642021-11-14T09:00:21ZDevelopment and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery2072-03512072-037810.14341/DM8265https://doaj.org/article/bc4e861935e44709905fd92bbd72ef642018-03-01T00:00:00Zhttps://www.dia-endojournals.ru/jour/article/view/8265https://doaj.org/toc/2072-0351https://doaj.org/toc/2072-0378Background: The efficacy of the treatment of type 1 diabetes can be markedly improved using artificial pancreas (AP), which is a technology to automatically control blood glucose levels. Aim: In this paper, we propose the construction of a controller for controlling the automated delivery of insulin in AP based on a proportional–integral–derivative (PID) algorithm using intraperitoneal (IP) insulin delivery. Methods: The project used rapid-acting insulin in the IP space when setting up a PID controller with feedback to ensure the safe and efficient delivery of insulin. The controller was configured to satisfy feedback insulin present in blood. Controller check was performed In Silico using the metabolic simulator UVA|Padova T1DMS on 10 virtual patients. Results: The proposed controller design has time to reach 83% within the glycaemic range of 70–140 mg/dl (3.9–7.8 mmol/l), without time spent in hypoglycaemia. Conclusions: In a future study we plan to test this controller in vivo to evaluate its performance in vivo.Vladimir A. KarpelyevYury I. PhilippovArtem V. AverinMaxim D. BoyarskyDmitriy A. GavrilovEndocrinology Research Centrearticleаrtificial pancreasintraperitoneal insulin infusionin silicocontrol algorithminsulin pumppreclinical studiesNutritional diseases. Deficiency diseasesRC620-627ENRUСахарный диабет, Vol 21, Iss 1, Pp 58-65 (2018)
institution DOAJ
collection DOAJ
language EN
RU
topic аrtificial pancreas
intraperitoneal insulin infusion
in silico
control algorithm
insulin pump
preclinical studies
Nutritional diseases. Deficiency diseases
RC620-627
spellingShingle аrtificial pancreas
intraperitoneal insulin infusion
in silico
control algorithm
insulin pump
preclinical studies
Nutritional diseases. Deficiency diseases
RC620-627
Vladimir A. Karpelyev
Yury I. Philippov
Artem V. Averin
Maxim D. Boyarsky
Dmitriy A. Gavrilov
Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
description Background: The efficacy of the treatment of type 1 diabetes can be markedly improved using artificial pancreas (AP), which is a technology to automatically control blood glucose levels. Aim: In this paper, we propose the construction of a controller for controlling the automated delivery of insulin in AP based on a proportional–integral–derivative (PID) algorithm using intraperitoneal (IP) insulin delivery. Methods: The project used rapid-acting insulin in the IP space when setting up a PID controller with feedback to ensure the safe and efficient delivery of insulin. The controller was configured to satisfy feedback insulin present in blood. Controller check was performed In Silico using the metabolic simulator UVA|Padova T1DMS on 10 virtual patients. Results: The proposed controller design has time to reach 83% within the glycaemic range of 70–140 mg/dl (3.9–7.8 mmol/l), without time spent in hypoglycaemia. Conclusions: In a future study we plan to test this controller in vivo to evaluate its performance in vivo.
format article
author Vladimir A. Karpelyev
Yury I. Philippov
Artem V. Averin
Maxim D. Boyarsky
Dmitriy A. Gavrilov
author_facet Vladimir A. Karpelyev
Yury I. Philippov
Artem V. Averin
Maxim D. Boyarsky
Dmitriy A. Gavrilov
author_sort Vladimir A. Karpelyev
title Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
title_short Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
title_full Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
title_fullStr Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
title_full_unstemmed Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery
title_sort development and in silico validation of the pid-algorithm for the artificial pancreas with intraperitoneal insulin delivery
publisher Endocrinology Research Centre
publishDate 2018
url https://doaj.org/article/bc4e861935e44709905fd92bbd72ef64
work_keys_str_mv AT vladimirakarpelyev developmentandinsilicovalidationofthepidalgorithmfortheartificialpancreaswithintraperitonealinsulindelivery
AT yuryiphilippov developmentandinsilicovalidationofthepidalgorithmfortheartificialpancreaswithintraperitonealinsulindelivery
AT artemvaverin developmentandinsilicovalidationofthepidalgorithmfortheartificialpancreaswithintraperitonealinsulindelivery
AT maximdboyarsky developmentandinsilicovalidationofthepidalgorithmfortheartificialpancreaswithintraperitonealinsulindelivery
AT dmitriyagavrilov developmentandinsilicovalidationofthepidalgorithmfortheartificialpancreaswithintraperitonealinsulindelivery
_version_ 1718429553883348992