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dc.contributor.author
Rosales, Nicolás
dc.contributor.author
de Battista, Hernán
dc.contributor.author
Vehí, Josep
dc.contributor.author
Garelli, Fabricio
dc.date.available
2019-10-09T15:50:27Z
dc.date.issued
2018-06
dc.identifier.citation
Rosales, Nicolás; de Battista, Hernán; Vehí, Josep; Garelli, Fabricio; Open-loop glucose control: Automatic IOB-based super-bolus feature for commercial insulin pumps; Elsevier Science; Computer Methods And Programs In Biomedicine; 159; 6-2018; 145-158
dc.identifier.issn
0169-2607
dc.identifier.uri
http://hdl.handle.net/11336/85456
dc.description.abstract
Background and Objective: Although there has been significant progress towards closed-loop type 1 diabetes mellitus (T1DM) treatments, most diabetic patients still treat this metabolic disorder in an open-loop manner, based on insulin pump therapy (basal and bolus insulin infusion). This paper presents a method for automatic insulin bolus shaping based on insulin-on-board (IOB) as an alternative to conventional bolus dosing. Methods: The methodology presented allows the pump to generate the so-called super-bolus (SB) employing a two-compartment IOB dynamic model. The extra amount of insulin to boost the bolus and the basal cutoff time are computed using the duration of insulin action (DIA). In this way, the pump automatically re-establishes basal insulin when IOB reaches its basal level. Thus, detrimental transients caused by manual or a-priori computations are avoided. Results: The potential of this method is illustrated via in-silico trials over a 30 patients cohort in single meal and single day scenarios. In the first ones, improvements were found (standard treatment vs. automatic SB) both in percentage time in euglycemia (75g meal: 81.9 ± 15.59 vs. 89.51 ± 11.95, ρ ≃ 0; 100g meal: 75.12 ± 18.23 vs. 85.46 ± 14.96, ρ ≃ 0) and time in hypoglecymia (75g meal: 5.92 ± 14.48 vs. 0.97 ± 4.15, ρ=0.008; 100g meal: 9.5 ± 17.02 vs. 1.85 ± 7.05, ρ=0.014). In a single day scenario, considering intra-patient variability, the time in hypoglycemia was reduced (9.57 ± 14.48 vs. 4.21 ± 6.18, ρ=0.028) and improved the time in euglycemia (79.46 ± 17.46 vs. 86.29 ± 11.73, ρ=0.007). Conclusions: The automatic IOB-based SB has the potential of a better performance in comparison with the standard treatment, particularly for high glycemic index meals with high carbohydrate content. Both glucose excursion and time spent in hypoglycemia were reduced.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
DIABETES MANAGEMENT
dc.subject
DURATION OF INSULIN ACTION
dc.subject
GLYCEMIC CONTROL
dc.subject
INSULIN DOSING
dc.subject
INSULIN-ON-BOARD
dc.subject.classification
Sistemas de Automatización y Control
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Open-loop glucose control: Automatic IOB-based super-bolus feature for commercial insulin pumps
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-08T13:19:10Z
dc.journal.volume
159
dc.journal.pagination
145-158
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Rosales, Nicolás. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
dc.description.fil
Fil: de Battista, Hernán. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
dc.description.fil
Fil: Vehí, Josep. Universidad de Girona. Instituto de Informatica y Aplicaciones; España
dc.description.fil
Fil: Garelli, Fabricio. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
dc.journal.title
Computer Methods And Programs In Biomedicine
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.cmpb.2018.03.007
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169260716314146
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