In silico testing of optimized Fuzzy P plus D controller for artificial pancreas

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dc.authoridSoylu, Selim -- 0000-0001-9156-7093
dc.contributor.authorSoylu, Selim
dc.contributor.authorDanışman, Kenan
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:17:35Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:17:35Z
dc.date.issued2018
dc.departmentMühendislik Fakültesi
dc.description.abstractBackground and objectives Despite therapeutic advances, a complete cure has not been found yet for patients with type 1 diabetes (T1D). Artificial pancreas (AP) is a promising approach to cope with this disease The controller part of the AP can compute the insulin infusion rate that keeps blood glucose concentration (BGC) in normoglycemic ranges Most controllers rely on model-based controllers and use manual meal announcements or meal detection algorithms. For a fully automated AP, a controller only using the patient's BGC data is needed Methods An optimized Mamdani-type hybrid Fuzzy P+D controller was proposed Using the University of Virginia/Padova Simulator, a 36 h scenario was tested in nine virtual adult patients To take into account the effect of continuous glucose monitor noise, the scenario was repeated 25 times for each adult The mam outcomes were the percentage of time BGC levels in the euglycemic range, low blood glucose index (LBGI), and blood glucose risk index (BGRI), respectively Results The obtained BGC values were found to be in the euglycemic range for 82.6% of the time Moreover, the BGC values were below 50 mg/dl, below 70 mg/dl and above 250 mg/dl for 0%, 0.35% and 0.74% of the time, respectively The BGRI, LBGI, and high blood glucose index (HBGI) were also found as 3.75, 0.34 and 3.41, respectively The proposed controller both increases the time the BGC levels in the euglycemic range and causes less hypoglycemia and hyperglycemia relative to the published techniques studied in a similar scenario and population. (C) 2018 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences Published by Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.bbe.2018.02.009
dc.identifier.endpage408en_US
dc.identifier.issn0208-5216
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage399en_US
dc.identifier.urihttps://doi.org/10.1016/j.bbe.2018.02.009
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4769
dc.identifier.volume38en_US
dc.identifier.wosWOS:000432621000015
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofBiocybernetics and Biomedical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Pancreas
dc.subjectClosed-loop
dc.subjectFuzzy P Plus D Controller
dc.subjectType 1 Diabetes
dc.titleIn silico testing of optimized Fuzzy P plus D controller for artificial pancreas
dc.typeArticle

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