Mostrar el registro sencillo del ítem

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