Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement

Background: Either under standard basal-bolus treatment or hybrid closed-loop control, subjects with type 1 diabetes are required to count carbohydrates (CHOs). However, CHO counting is not only burdensome but also prone to errors. Recently, an artificial pancreas algorithm that does not require pr...

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Detalles Bibliográficos
Autores principales: Fushimi, Emilia, Colmegna, Patricio Hernán, De Battista, Hernán, Garelli, Fabricio, Sánchez Peña, Ricardo Salvador
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Ingeniería Electrónica
artificial pancreas
carbohydrate counting
sliding mode control
switched control
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/107443
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6835180&blobtype=pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-107443
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Electrónica
artificial pancreas
carbohydrate counting
sliding mode control
switched control
spellingShingle Ingeniería Electrónica
artificial pancreas
carbohydrate counting
sliding mode control
switched control
Fushimi, Emilia
Colmegna, Patricio Hernán
De Battista, Hernán
Garelli, Fabricio
Sánchez Peña, Ricardo Salvador
Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
topic_facet Ingeniería Electrónica
artificial pancreas
carbohydrate counting
sliding mode control
switched control
description Background: Either under standard basal-bolus treatment or hybrid closed-loop control, subjects with type 1 diabetes are required to count carbohydrates (CHOs). However, CHO counting is not only burdensome but also prone to errors. Recently, an artificial pancreas algorithm that does not require premeal insulin boluses—the so-called automatic regulation of glucose (ARG)—was introduced. In its first pilot clinical study, although the exact CHO counting was not required, subjects still needed to announce the meal time and classify the meal size. Method: An automatic switching signal generator (SSG) is proposed in this work to remove the manual mealtime announcement from the control strategy. The SSG is based on a Kalman filter and works with continuous glucose monitoring readings only. Results: The ARG algorithm with unannounced meals (ARGum) was tested in silico under the effect of different types of mixed meals and intrapatient variability, and contrasted with the ARG algorithm with announced meals (ARGam). Simulations reveal that, for slow-absorbing meals, the time in the euglycemic range, [70-180] mg/dL, increases using the unannounced strategy (ARGam: 78.1 [68.6-80.2]% (median [IQR]) and ARGum: 87.8 [84.5-90.6]%), while similar results were found with fastabsorbing meals (ARGam: 87.4 [86.0-88.9]% and ARGum: 87.6 [86.1-88.8]%). On the other hand, when intrapatient variability is considered, time in euglycemia is also comparable (ARGam: 81.4 [75.4-83.5]% and ARGum: 80.9 [77.0-85.1]%). Conclusion: In silico results indicate that it is feasible to perform an in vivo evaluation of the ARG algorithm with unannounced meals.
format Articulo
Articulo
author Fushimi, Emilia
Colmegna, Patricio Hernán
De Battista, Hernán
Garelli, Fabricio
Sánchez Peña, Ricardo Salvador
author_facet Fushimi, Emilia
Colmegna, Patricio Hernán
De Battista, Hernán
Garelli, Fabricio
Sánchez Peña, Ricardo Salvador
author_sort Fushimi, Emilia
title Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
title_short Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
title_full Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
title_fullStr Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
title_full_unstemmed Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement
title_sort artificial pancreas: evaluating the arg algorithm without meal announcement
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/107443
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6835180&blobtype=pdf
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AT debattistahernan artificialpancreasevaluatingtheargalgorithmwithoutmealannouncement
AT garellifabricio artificialpancreasevaluatingtheargalgorithmwithoutmealannouncement
AT sanchezpenaricardosalvador artificialpancreasevaluatingtheargalgorithmwithoutmealannouncement
bdutipo_str Repositorios
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