<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0188-9532</journal-id>
<journal-title><![CDATA[Revista mexicana de ingeniería biomédica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. ing. bioméd]]></abbrev-journal-title>
<issn>0188-9532</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Ingeniería Biomédica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-95322017000300621</article-id>
<article-id pub-id-type="doi">10.17488/rmib.38.3.9</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Desarrollo de una Interfaz Visual del Metabolismo de Glucosa Basada en Modelos Matemáticos Compartimentales]]></article-title>
<article-title xml:lang="en"><![CDATA[Development of a Visual Interface of Glucose Metabolism Based on Compartment Mathematical Models]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Olay-Blanco]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quiroz-Compeán]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Nuevo León FIME ]]></institution>
<addr-line><![CDATA[San Nicolás de los Garza Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>38</volume>
<numero>3</numero>
<fpage>621</fpage>
<lpage>636</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-95322017000300621&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-95322017000300621&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-95322017000300621&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La diabetes es una pandemia mundial cuya incidencia ha aumentado en las últimas décadas. Por tal motivo, es prioritario proponer estrategias para su diagnóstico, tratamiento y seguimiento. Uno de los enfoques recientes en el tratamiento de la diabetes es el monitoreo continuo, el cual permite tener suficiente información sobre el estado metabólico del paciente a lo largo del día. Esta información puede servir para simular pacientes virtuales que sean herramientas para proponer estrategias de tratamiento. Por tanto, el objetivo de esta investigación es proponer una interfaz visual que simule pacientes virtuales, a partir de un conjunto de modelos matemáticos compartimentales que permiten ingresar parámetros del metabolismo y modificaciones en el tratamiento. El desarrollo de la interfaz se realizó en MATLAB® y simula tres tipos de pacientes (sano, diabético tipo I y diabético tipo II). Los resultados muestran una interfaz que presenta de manera ilustrativa el funcionamiento de los modelos matemáticos y permite una visualización del estado metabólico del paciente; así como el manejo de medicamentos e ingesta. Una limitante de esta investigación es la validación de la interfaz con datos experimentales de los tres tipos de pacientes. Una vez validada, esta herramienta aportaría en el desarrollo de tecnología in silico para la generación de pacientes virtuales.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Diabetes is a pandemic disease whose incident rate has been rising in the last decades. Therefore, it is important to propose strategies for its diagnosis, treatment and monitoring. One of the recent approaches on diabetes treatment is the continuous monitoring, which provides enough information about the metabolic state of the patient throughout the day. This information can be used to simulate virtual patients which are useful tools in treatment strategies. Thus, the objective of this research is to propose a visual interface to simulate virtual patients, this is based on compartmental mathematical models considering changes in metabolic parameters and treatment modifications. The interface was made in MATLAB® and simulates three kinds of patients (healthy, type I diabetic, type II diabetic). The results show an interface that presents the functionality of the mathematical models in an illustrative way and it allows the visualization of the metabolic state of the patient; as well as the medication usage and meal intake. A limitation of this approach is the validation of the interface with experimental data of the three kinds of patients. Once it was validated, this tool could contribute to the development of in silico technology to generate virtual patients.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Diabetes]]></kwd>
<kwd lng="es"><![CDATA[modelado matemático de metabolismo de glucosa]]></kwd>
<kwd lng="es"><![CDATA[interfaz visual]]></kwd>
<kwd lng="es"><![CDATA[paciente virtual]]></kwd>
<kwd lng="en"><![CDATA[Diabetes]]></kwd>
<kwd lng="en"><![CDATA[glucose metabolism modeling]]></kwd>
<kwd lng="en"><![CDATA[visual interface]]></kwd>
<kwd lng="en"><![CDATA[virtual patient]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>[1]</label><nlm-citation citation-type="book">
<collab>International Diabetes Federation. IDF</collab>
<source><![CDATA[Diabetes atlas]]></source>
<year>2015</year>
<edition>seventh</edition>
<publisher-name><![CDATA[International Diabetes Federation]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>[2]</label><nlm-citation citation-type="">
<collab>Instituto Nacional de Salud Pública</collab>
<source><![CDATA[Encuesta nacional de salud t nutrición de medio camino]]></source>
<year>2016</year>
<page-range>48-54</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>[3]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ajmera]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Swat]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Laibe]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Novère]]></surname>
<given-names><![CDATA[Le]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The impact of mathematical modeling on the understanding of diabetes and related complications]]></article-title>
<source><![CDATA[ASCPT]]></source>
<year>2013</year>
<volume>2</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>[4]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bolie]]></surname>
<given-names><![CDATA[VW]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Coefficients of normal blood regulation]]></article-title>
<source><![CDATA[J. Appl. Physiol]]></source>
<year>1961</year>
<volume>16</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>783-8</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>[5]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bergman]]></surname>
<given-names><![CDATA[RN]]></given-names>
</name>
<name>
<surname><![CDATA[YZ]]></surname>
<given-names><![CDATA[Ider]]></given-names>
</name>
<name>
<surname><![CDATA[Bowden]]></surname>
<given-names><![CDATA[CR]]></given-names>
</name>
<name>
<surname><![CDATA[Cobelli]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quantitative estimation of insulin sensitivity]]></article-title>
<source><![CDATA[Am J Physiol Endocrinol Metab]]></source>
<year>1979</year>
<volume>236</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B6">
<label>[6]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mari]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mathematical modeling in glucose metabolism and insulin secretion]]></article-title>
<source><![CDATA[Curr. Opin. Clin. Nutr. Metab. Care]]></source>
<year>2002</year>
<volume>5</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>495-501</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>[7]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tiran]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Avruch]]></surname>
<given-names><![CDATA[LI]]></given-names>
</name>
<name>
<surname><![CDATA[Albisser]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A circulation and organs model for insulin dynamics]]></article-title>
<source><![CDATA[Am. J. Physiol. Gastrointest. Liver Physiol]]></source>
<year>1979</year>
<volume>237</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>G331-9</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>[8]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sorensen]]></surname>
<given-names><![CDATA[JT]]></given-names>
</name>
</person-group>
<source><![CDATA[A physiologic model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes]]></source>
<year>1985</year>
<publisher-name><![CDATA[Massachusetts Institute of Technology]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>[9]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Landersdorfer]]></surname>
<given-names><![CDATA[CB]]></given-names>
</name>
<name>
<surname><![CDATA[Jusko]]></surname>
<given-names><![CDATA[WJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pharmacokinetic/pharmacodynamics modeling in diabetes mellitus]]></article-title>
<source><![CDATA[Clin. Pharmacokinet]]></source>
<year>2008</year>
<volume>47</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>417-48</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>[10]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cobelli]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Man]]></surname>
<given-names><![CDATA[CD]]></given-names>
</name>
<name>
<surname><![CDATA[Sparacino]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Magni]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[De Nicolao]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Kovatchev]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diabetes: models, signals and control]]></article-title>
<source><![CDATA[IEEE Rev. Biomed. Eng.]]></source>
<year>2009</year>
<numero>2</numero>
<issue>2</issue>
<page-range>54-96</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>[11]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bagust]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Beale]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deteriorating beta-cell function in type 2 diabetes: a long-term model]]></article-title>
<source><![CDATA[QJM]]></source>
<year>2003</year>
<volume>96</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B12">
<label>[12]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Albisser]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Yamasaki]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Broekhuyse]]></surname>
</name>
<name>
<surname><![CDATA[Tiran]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hypercomplex models of insulin and glucose dynamics: Do they predict experimental results?]]></article-title>
<source><![CDATA[Ann Biomed Eng.]]></source>
<year>1980</year>
<volume>8</volume>
<numero>4-6</numero>
<issue>4-6</issue>
<page-range>539-57</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>[13]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wilinska]]></surname>
<given-names><![CDATA[ME]]></given-names>
</name>
<name>
<surname><![CDATA[Hovorka]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simulation models for in silico testing of closed-loop glucose controllers in type 1 diabetes]]></article-title>
<source><![CDATA[Drug Discov Today Dis Mod.]]></source>
<year>2008</year>
<volume>5</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>289-98</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>[14]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kovatchev]]></surname>
<given-names><![CDATA[BP]]></given-names>
</name>
<name>
<surname><![CDATA[Breton]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Dalla Man]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Cobelli]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[In Silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes]]></article-title>
<source><![CDATA[JDST]]></source>
<year>2009</year>
<volume>3</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>44-55</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>[15]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dalla Man]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Micheletto]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Lv]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Breton]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The UVA/PADOVA type 1 diabetes simulator]]></article-title>
<source><![CDATA[JDST]]></source>
<year>2014</year>
<volume>8</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>26-34</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>[17]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Man]]></surname>
<given-names><![CDATA[CD]]></given-names>
</name>
<name>
<surname><![CDATA[Rizza]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Cobelli]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Meal simulation model of glucose-insulin system]]></article-title>
<source><![CDATA[IEEE Trans. Biomed. Eng.]]></source>
<year>2007</year>
<volume>54</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1740-9</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>[18]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hovorka]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Canonico]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Chassin]]></surname>
<given-names><![CDATA[LJ]]></given-names>
</name>
<name>
<surname><![CDATA[Haueter]]></surname>
<given-names><![CDATA[U]]></given-names>
</name>
<name>
<surname><![CDATA[Massi-Benedetti]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Federici]]></surname>
<given-names><![CDATA[MO]]></given-names>
</name>
</person-group>
<collab>et al.</collab>
<article-title xml:lang=""><![CDATA[Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes]]></article-title>
<source><![CDATA[Physiol Meas.]]></source>
<year>2004</year>
<volume>25</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>905</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
