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dc.contributor.author | Herrero, Pau | es_ES |
dc.contributor.author | Bondía Company, Jorge | es_ES |
dc.contributor.author | Giménez, M. | es_ES |
dc.contributor.author | Oliver, Nick | es_ES |
dc.contributor.author | Georgiou, Pantelis | es_ES |
dc.date.accessioned | 2020-04-17T12:50:05Z | |
dc.date.available | 2020-04-17T12:50:05Z | |
dc.date.issued | 2018-03-01 | es_ES |
dc.identifier.issn | 1932-2968 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/140904 | |
dc.description.abstract | [EN] Background: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic adaptation of the basal insulin profile of people with diabetes on sensor-augmented pump therapy is presented. Methods: The presented technique is based on a run-to-run control law that overcomes some of the limitations of previously proposed methods. To prove its validity, an in silico validation was performed. Finally, the artificial intelligence technique of case-based reasoning is proposed as a potential solution to deal with variability in basal insulin requirements. Results: Over a period of 4 months, the proposed run-to-run control law successfully adapts the basal insulin profile of a virtual population (10 adults, 10 adolescents, and 10 children). In particular, average percentage time in target [70, 180] mg/dl was significantly improved over the evaluated period (first week versus last week): 70.9 ± 11.8 versus 91.1 ± 4.4 (adults), 46.5 ± 11.9 versus 80.1 ± 10.9 (adolescents), 49.4 ± 12.9 versus 73.7 ± 4.1 (children). Average percentage time in hypoglycemia (<70 mg/dl) was also significantly reduced: 9.7 ± 6.6 versus 0.9 ± 1.2 (adults), 10.5 ± 8.3 versus 0.83 ± 1.0 (adolescents), 10.9 ± 6.1 versus 3.2 ± 3.5 (children). When compared against an existing technique over the whole evaluated period, the presented approach achieved superior results on percentage of time in hypoglycemia: 3.9 ± 2.6 versus 2.6 ± 2.2 (adults), 2.9 ± 1.9 versus 2.0 ± 1.5 (adolescents), 4.6 ± 2.8 versus 3.5 ± 2.0 (children), without increasing the percentage time in hyperglycemia. Conclusion: The present study shows the potential of a novel technique to effectively adjust the basal insulin profile of a type 1 diabetes population on sensor-augmented insulin pump therapy. | es_ES |
dc.description.sponsorship | The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project has received funding from the European Union s Horizon 2020 research and innovation program under grant agreement 689810. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | SAGE Publications | es_ES |
dc.relation.ispartof | Journal of Diabetes Science and Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Type 1 diabetes | es_ES |
dc.subject | Basal insulin | es_ES |
dc.subject | Adaptive control | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.subject | Run-to-run | es_ES |
dc.subject | Case-based reasoning | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Automatic Adaptation of Basal Insulin using Sensor-augmented Pump Therapy | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1177/1932296818761752 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Herrero, P.; Bondía Company, J.; Giménez, M.; Oliver, N.; Georgiou, P. (2018). Automatic Adaptation of Basal Insulin using Sensor-augmented Pump Therapy. Journal of Diabetes Science and Technology. 12(2):282-294. https://doi.org/10.1177/1932296818761752 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1177/1932296818761752 | es_ES |
dc.description.upvformatpinicio | 282 | es_ES |
dc.description.upvformatpfin | 294 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 12 | es_ES |
dc.description.issue | 2 | es_ES |
dc.identifier.pmid | 29493359 | es_ES |
dc.relation.pasarela | S\386380 | es_ES |
dc.contributor.funder | European Commission | es_ES |
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