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Modeling the nonlinear behavior of glucose by using the nonlinear step-functions

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dc.contributor.author Nieto Chaupis, Huber
dc.coverage.temporal 15 August 2017 through 18 August 2017
dc.date.accessioned 2019-08-18T03:54:30Z
dc.date.available 2019-08-18T03:54:30Z
dc.date.issued 2017-08
dc.identifier.citation Nieto-Chaupis, H. (Agosto, 2017). Modeling the nonlinear behavior of glucose by using the nonlinear step-functions. In 2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing, Perú. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/329
dc.identifier.uri http://dx.doi.org/10.1109/INTERCON.2017.8079637
dc.identifier.uri https://ieeexplore.ieee.org/document/8079637
dc.description.abstract From a sample of 20 type 2 diabetes patients with evidence of exhibiting nonlinear behavior of glucose, we have proposed a mathematical model based on the convolution of the so-called step-function and a full nonlinear function. For this end, we have performed successive measurements of glucose in order to construct the histograms as function of time. With this statistics we have applied a 5-parameters fitting in order to identify the parameters characterized with a high sensitivity on the morphology of the curves of glucose. Data have exhibited abnormal behavior in their glucose's evolution for a period of 60 days. Thus, we have identified the curve pattern so that a 5-parameters fitting was performed. The fit function has turned out to have the morphology of the so-called step-function roughly. However, data exhibits also disturbs which can be attributed to the patient's behavior mainly related to their alimentary habits or others psychological factors. Under the assumption that the patients are exhibiting a certain unpredictable policy of alimentary habits and are not following a strict policy of pharmacology, the model has yielded predictions in a confidence of order of 85% ± 10%, where at least one of 5 patients of the sample (20 patients) might acquire a disorder in their glucose's evolutions for subsequent 10 weeks. en
dc.description.sponsorship IEEE Peru Section
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Convolution en
dc.subject Curve fitting en
dc.subject Glucose en
dc.subject Abnormal behavior en
dc.subject Fitting en
dc.subject Function of time en
dc.subject High sensitivity en
dc.subject Nonlinear behavior en
dc.subject Nonlinear functions en
dc.subject Psychological factors en
dc.subject Type-2 diabetes en
dc.subject Functions en
dc.title Modeling the nonlinear behavior of glucose by using the nonlinear step-functions en_PE
dc.type conferenceObject en_PE
dc.identifier.doi 10.1109/INTERCON.2017.8079637 en_PE
dc.identifier.journal IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON en_PE
dc.identifier.scopus 2-s2.0-85040008203


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