<?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>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462025000200967</article-id>
<article-id pub-id-type="doi">10.13053/cys-29-2-5750</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Advanced Electrical Modeling of Biological Tissues: New Trends and their Impact on Bioimpedance Interpretation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kashina]]></surname>
<given-names><![CDATA[Svetlana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guzmán Cabrera]]></surname>
<given-names><![CDATA[Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Balleza Ordaz]]></surname>
<given-names><![CDATA[José Marco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,University of Guanajuato Division of Sciences and Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,University of Guanajuato Division of Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<fpage>967</fpage>
<lpage>970</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462025000200967&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462025000200967&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462025000200967&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Bioimpedance is a non-invasive technique that measures the electrical properties of biological tissues to assess composition and functional states, such as water content and hydration status. Widely applied in clinical settings (e.g., dialysis, heart failure monitoring) and research (e.g., tissue engineering, tumor characterization), it is valued for its simplicity, low cost, and repeatability. However, traditional models like the Cole model and RC circuits assume tissue homogeneity and isotropy, leading to errors in heterogeneous, anisotropic tissues. Recent advancements in electrical modeling, including multilayer, anisotropic, and image-based approaches, address these limitations. Multilayer models improve heterogeneity representation in muscles and tumors, while anisotropic models using conductivity tensors enhance accuracy in electrical impedance tomography (EIT). Imaging techniques like X-ray microtomography provide 3D structural data, aiding diagnostics in skin tumors, and tools like singular perturbation theory and stereology model small inclusions and quantify tissue properties. These advances reduce extracellular fluid volume estimation errors by up to 15% and measurement errors in heterogeneous tissues by 20&#8211; 30%, improving applications like lung ventilation mapping and early pathology detection (e.g., 88% sensitivity in breast cancer). AI integration further enhances precision, achieving over 90% accuracy in heart failure fluid predictions. Clinical applications include optimized dialysis protocols and sports training, while portable EIT wearables enable real-time monitoring. Challenges persist, including standardization issues causing 10% result variability and limited AI datasets. Future efforts should focus on international standards, AI-driven diagnostics, and EIT- ultrasound integration to strengthen bioimpedance&#8217;s role in personalized medicine. These advancements revolutionize bioimpedance interpretation, enhancing diagnostic accuracy and clinical accessibility.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Bioimpedance]]></kwd>
<kwd lng="en"><![CDATA[interpretation]]></kwd>
<kwd lng="en"><![CDATA[modeling]]></kwd>
<kwd lng="en"><![CDATA[biomedicine]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kyle]]></surname>
<given-names><![CDATA[U.G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bioelectrical impedance analysis&#8212;part I: review of principles and methods]]></article-title>
<source><![CDATA[Clinical Nutrition]]></source>
<year>2004</year>
<volume>23</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1226-43</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Barbosa-Silva]]></surname>
<given-names><![CDATA[M.C.G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Can bioelectrical impedance analysis identify malnutrition in preoperative nutrition assessment?]]></article-title>
<source><![CDATA[Nutrition]]></source>
<year>2003</year>
<volume>19</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>422-6</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Martinsen]]></surname>
<given-names><![CDATA[O.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Heiskanen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Bioimpedance and bioelectricity basics]]></source>
<year>2023</year>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ward]]></surname>
<given-names><![CDATA[L.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Brantlov]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bioimpedance basics and phase angle fundamentals]]></article-title>
<source><![CDATA[Reviews in Endocrine and Metabolic Disorders]]></source>
<year>2023</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>381-91</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nasir]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmad]]></surname>
<given-names><![CDATA[M.Al.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cells electrical characterization: dielectric properties, mixture, and modeling theories]]></article-title>
<source><![CDATA[Journal of Engineering]]></source>
<year>2020</year>
<volume>1</volume>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jafarinia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling Anisotropic Electrical Conductivity of Blood: Translating Microscale Effects of Red Blood Cell Motion into a Macroscale Property of Blood]]></article-title>
<source><![CDATA[Bioengineering]]></source>
<year>2024</year>
<volume>11</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>147</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abasi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bioelectrical impedance spectroscopy for monitoring mammalian cells and tissues under different frequency domains: A review]]></article-title>
<source><![CDATA[ACS Measurement Science AU]]></source>
<year>2022</year>
<volume>2</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>495-516</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Limbrock]]></surname>
<given-names><![CDATA[J.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kemna]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Relationship between Cole&#8211;Cole model parameters in permittivity and conductivity formulation]]></article-title>
<source><![CDATA[Geophysical Journal International]]></source>
<year>2024</year>
<volume>239</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>964-70</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mattana]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cole-Cole model for the Dielectric Characterization of Healthy Skin and Basal Cell Carcinoma at THz Frequencies]]></article-title>
<source><![CDATA[IEEE Open Journal of Engineering in Medicine and Biology]]></source>
<year>2024</year>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Canali]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bioimpedance monitoring of 3D cell culturing&#8212; Complementary electrode configurations for enhanced spatial sensitivity]]></article-title>
<source><![CDATA[Biosensors and Bioelectronics]]></source>
<year>2015</year>
<volume>63</volume>
<page-range>72-9</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Adler]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Electrical impedance tomography, in Electrical Impedance Tomography]]></source>
<year>2021</year>
<page-range>3-11</page-range><publisher-name><![CDATA[CRC Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Saccomano]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The potential of x-ray virtual histology in the diagnosis of skin tumors]]></article-title>
<source><![CDATA[Skin Research and Technology]]></source>
<year>2024</year>
<volume>30</volume>
<numero>10</numero>
<issue>10</issue>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nejadgholi]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Preprocessing and parameterizing bioimpedance spectroscopy measurements by singular value decomposition]]></article-title>
<source><![CDATA[Physiological measurement]]></source>
<year>2015</year>
<volume>36</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>983</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[van der Sande]]></surname>
<given-names><![CDATA[F.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using bioimpedance spectroscopy to assess volume status in dialysis patients]]></article-title>
<source><![CDATA[Blood purification]]></source>
<year>2020</year>
<volume>49</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>178-84</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reljin]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning model based on transthoracic bioimpedance and heart rate variability for lung fluid accumulation detection: prospective clinical study]]></article-title>
<source><![CDATA[JMIR Medical Informatics]]></source>
<year>2020</year>
<volume>8</volume>
<numero>8</numero>
<issue>8</issue>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Groenendaal]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[van Hoof]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wearable bioimpedance monitoring: Viewpoint for application in chronic conditions]]></article-title>
<source><![CDATA[JMIR Biomedical Engineering]]></source>
<year>2021</year>
<volume>6</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cervantes]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Electrical bioimpedance analysis and comparison in biological tissues through crystalloid solutions implementation]]></article-title>
<source><![CDATA[Biosensors and Bioelectronics]]></source>
<year>2024</year>
<numero>246</numero>
<issue>246</issue>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kashina]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Tissue-specific bioimpedance changes induced by graphene oxide ex vivo: a step toward contrast media development]]></article-title>
<source><![CDATA[AIMS Biophysics]]></source>
<year>2025</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ward]]></surname>
<given-names><![CDATA[L.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation]]></article-title>
<source><![CDATA[European journal of clinical nutrition]]></source>
<year>2019</year>
<volume>73</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>194-9</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Adler]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Grychtol]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Bayford]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Why is EIT so hard, and what are we doing about it]]></article-title>
<source><![CDATA[Physiological measurement]]></source>
<year>2015</year>
<volume>36</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1067-73</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
