<?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>S0188-95322024000300112</article-id>
<article-id pub-id-type="doi">10.17488/rmib.45.3.7</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Development of a Frequent Exchange Coordinate Algorithm for Detection of Precordial Electrode Exchange during ECG based on Error and Correlation Parameters]]></article-title>
<article-title xml:lang="es"><![CDATA[Desarrollo de un Algoritmo de Coordenadas de Intercambio Frecuente para Detección del Intercambio de Electrodos Precordiales ECG basado en Parámetros de Error y Correlación]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Figueroa Tejada]]></surname>
<given-names><![CDATA[Edward Carello]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mamani Huisa]]></surname>
<given-names><![CDATA[Carlos Esteban]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sulla Espinoza]]></surname>
<given-names><![CDATA[Erasmo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rendulich]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de San Agustín de Arequipa  ]]></institution>
<addr-line><![CDATA[Arequipa ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>45</volume>
<numero>3</numero>
<fpage>112</fpage>
<lpage>128</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-95322024000300112&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-95322024000300112&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-95322024000300112&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT In order to develop a method for detecting precordial electrode exchange, a frequent exchange coordinate (FEC) algorithm was implemented, that identified the minimum correlation points necessary to detect a specific electrode exchange, and its performance was tested with error estimators (mean square error and percent mean square difference). Validation of the algorithm was performed using the k-fold cross-validation technique on the PTB, Chapman University and Shaoxing Hospital, PTB XL, and Georgia 12-lead ECG Challenge databases. The results indicate averages of Se= 99.16 % and Sp= 99.38 % (MSE), Se= 95.38 % and Sp= 99.47 % (PRD), Se= 98.44 % and Sp= 99.49 % (Pearson), Se= 98.45 % and Sp= 99.48 % (modified Pearson), Se= 95.39 % and Sp= 99.81 % (Bray Curtis), Se= 80.00 % and Sp= 97.84 % (correlation sign). MSE presents a significant improvement in execution time (61.49µs N=1000), representing, on average, 44.99 % of the execution time for Pearson correlation. The frequent exchange coordinates algorithm was then validated using signal analysis with the mean square error (MSE), representing a good alternative to detect electrode exchange in real time, easy to implement, and low computational cost.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Con objetivo de desarrollar un método de detección de intercambio de electrodos precordiales, se implementó un algoritmo de coordenadas de intercambio frecuentes (FEC) que identifica lo mínimos puntos de correlación necesarios para detectar un intercambio de electrodos específico y a su vez se probó su desempeño con estimadores de error (error cuadrático medio y diferencia cuadrática media porcentual). La validación del algoritmo se hizo mediante la técnica k-fold cross-validation en las bases de datos PTB, Chapman University and Shaoxing Hospital, PTB XL y Georgia 12-lead ECG Challenge. Los resultados indican promedios de Se= 99,16 % y Sp= 99,38 % (MSE), Se= 95,38 % y Sp= 99,47 % (PRD), Se= 98,44 % y Sp= 99,49 % (Pearson), Se= 98,45 % y Sp= 99,48 % (Pearson modificado), Se= 95,39 % y Sp= 99,81 % (Bray Curtis), Se= 80,00 % y Sp= 97,84 % (correlación signo). MSE presenta una mejora significativa en el tiempo de ejecución (61,49µs N=1000), representando en promedio el 44.99 % del tiempo de ejecución para correlación de Pearson. Se valida entonces el algoritmo de coordenadas de intercambio frecuente con análisis de señales con error cuadrático medio (MSE), representando una buena alternativa para detectar el intercambio de electrodos en tiempo real, de fácil implementación y bajo costo computacional.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[12-lead ECG]]></kwd>
<kwd lng="en"><![CDATA[correlation]]></kwd>
<kwd lng="en"><![CDATA[error estimators]]></kwd>
<kwd lng="en"><![CDATA[electrode exchange]]></kwd>
<kwd lng="es"><![CDATA[ECG-12 derivaciones]]></kwd>
<kwd lng="es"><![CDATA[correlación]]></kwd>
<kwd lng="es"><![CDATA[estimadores de error]]></kwd>
<kwd lng="es"><![CDATA[intercambio de electrodos]]></kwd>
</kwd-group>
</article-meta>
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