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dc.contributor.author | Sala-Mira, Iván | es_ES |
dc.contributor.author | García Gil, Pedro José | es_ES |
dc.contributor.author | Diez, José-Luís | es_ES |
dc.contributor.author | Bondia, Jorge | es_ES |
dc.date.accessioned | 2023-07-04T18:01:49Z | |
dc.date.available | 2023-07-04T18:01:49Z | |
dc.date.issued | 2022-11 | es_ES |
dc.identifier.issn | 0169-2607 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/194680 | |
dc.description.abstract | [EN] Background and Objectives Hybrid artificial pancreas systems outperform current insulin pump therapies in blood glucose regulation in type 1 diabetes. However, subjects still have to inform the system about meals intake and exercise to achieve reasonable control. These patient announcements may result in overburden and compromise controller performance if not provided timely and accurately. Here, a hybrid artificial pancreas is extended with an add-on module that releases subjects from meals and exercise announcements. Methods The add-on module consists of an internal-model controller that generates a ¿virtual¿ control action to compensate for disturbances. This ¿virtual¿ action is converted into insulin delivery, rescue carbohydrates suggestions, or insulin-on-board limitations, depending on a switching logic based on glucose measurements and predictions. The controller parameters are tuned by optimization and then related to standard parameters from the open-loop therapy. This module is implemented in a hybrid artificial pancreas system proposed by our research group for validation. This hybrid system extended with the add-on module is compared with the hybrid controller with carbohydrate counting errors (hybrid) and the hybrid controller with an alternative unannounced meal compensation module based on a meal detection algorithm (meal detector). The validation used the educational version of the UVa/Padova simulator to simulate the three controllers under two scenarios: one with only meals and another with meals and exercise. The exercise was modeled as a temporal increase of the insulin sensitivity resulting in the glucose drop usually related to an aerobic exercise. Results For the scenario with only meals, the three controllers achieved similar time in range (proposed: 85.1 [77.9,88.1]%, hybrid: 84.0 [75.9,86.4]%, meal detector: 81.9 [79.3,83.8]%, median [interquartile range]) with low time in moderate hypoglycemia. Under the scenario with meals and exercise, the proposed module reduces 4.61% the time in hypoglycemia achieved with the other controllers, suggesting an acceptable amount of rescues (27.2 [23.7, 31.0] g). Conclusions The proposed add-on module achieved promising results: it outperformed the meal-detector-based controller, even achieving a postprandial performance as good as the hybrid controller (with carbohydrate counting errors). Also, the rescue suggestion feature of the module mitigated exercise-induced hypoglycemia with admissible rescue amounts. | es_ES |
dc.description.sponsorship | This work was partially supported by: grant PID2019-107722RBC21 funded by MCIN/AEI/10.13039/50110 0 011033 and grant ACIF/2017/021 funded by the Generalitat Valenciana through FSE funds. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computer Methods and Programs in Biomedicine | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Type 1 diabetes | es_ES |
dc.subject | Artificial pancreas | es_ES |
dc.subject | Postprandial control | es_ES |
dc.subject | Hypoglycemia avoidance | es_ES |
dc.subject | Internal model control | es_ES |
dc.subject | Disturbance rejection | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Internal model control based module for the elimination of meal and exercise announcements in hybrid artificial pancreas systems | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cmpb.2022.107061 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107722RB-C21/ES/SOLUCIONES A MEDIDA DEL PACIENTE PARA EL CONTROL DE GLUCOSA EN SANGRE EN DIABETES TIPO 1/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2017%2F021//AYUDA PREDOCTORAL CONSELLERIA-SALA MIRA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Sala-Mira, I.; García Gil, PJ.; Diez, J.; Bondia, J. (2022). Internal model control based module for the elimination of meal and exercise announcements in hybrid artificial pancreas systems. Computer Methods and Programs in Biomedicine. 226:1-13. https://doi.org/10.1016/j.cmpb.2022.107061 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.cmpb.2022.107061 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 13 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 226 | es_ES |
dc.identifier.pmid | 36116400 | es_ES |
dc.relation.pasarela | S\471633 | es_ES |
dc.contributor.funder | European Social Fund | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |