<?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>1684-1859</journal-id>
<journal-title><![CDATA[Revista Cubana de Informática Médica]]></journal-title>
<abbrev-journal-title><![CDATA[RCIM]]></abbrev-journal-title>
<issn>1684-1859</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de La Habana]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1684-18592019000100018</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Monitorización automática de estados de sedación en señales electroencefalográficas]]></article-title>
<article-title xml:lang="en"><![CDATA[Automatic monitoring of sedation states in electroencephalographic signals]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Rubio]]></surname>
<given-names><![CDATA[Tahimy]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Aldana]]></surname>
<given-names><![CDATA[Yissel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Drullet Ferrer]]></surname>
<given-names><![CDATA[Jorge Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marañon Reyes]]></surname>
<given-names><![CDATA[Enrique J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montoya Pedrón]]></surname>
<given-names><![CDATA[Arquímedes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Oriente Departamento de Ingeniería Biomédica ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Oriente Centro de Estudios de Neurociencias Procesamiento de Imágenes y Señales ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Oriente Centro Nacional de Electromagnetismo Aplicado ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Hospital General Docente &#8220;Juan Bruno Zayas Alfonso&#8221; Servicio de Neurofisiología Clínica ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>11</volume>
<numero>1</numero>
<fpage>18</fpage>
<lpage>32</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1684-18592019000100018&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1684-18592019000100018&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1684-18592019000100018&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La anestesia general proporciona al paciente estados de inconciencia, amnesia y analgesia, sin embargo, se reportan casos de despertar intraoperatorio. Debido a la incidencia de este fenómeno y sus efectos psicosomáticos, el Centro de Estudios de Neurociencias, Procesamiento de Imágenes y Señales en la Universidad de Oriente, y el Hospital General &#8220;Juan Bruno Zayas Alfonso&#8221; ambos en Santiago de Cuba, Cuba, implementan una metodología que permita detectar automáticamente estados de sedación anestésica aplicando Inteligencia Artificial. Para esto se emplearon las señales registradas por el canal electroencefalográfico F4, nueve parámetros espectrales, las Máquinas de Soporte Vectorial y los Sistemas Neuro-Difusos. En el reconocimiento automático de los estados de Sedación Profunda, Moderada y Ligera se logró una Exactitud de 96.12%, 90.06% y 90.24% respectivamente con las Máquinas de Soporte Vectorial, por lo que se propone el uso del canal electroencefalográfico F4 en la detección de estados anestésicos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT General anesthesia provide the patient states of unconsciousness, amnesia and analgesia, however, cases of intraoperative awareness are reported. Due to the incidence of this phenomenon and the psychosomatic effects it causes, the Neuroscience Studies Center, Images and Signals Processing at the University of Oriente, and the General Hospital "Juan Bruno Zayas Alfonso" both in Santiago de Cuba, Cuba, implement a methodology that allows the automatic detection of anesthetic sedation states applying Artificial Intelligence. For this, the signals recorded by the electroencephalographic channel F4, nine spectral parameters, the Support Vector Machines and the Neuro-Fuzzy Systems were used. In the automatic recognition of the Sedation States: Profound, Moderate and Mild an Accuracy of 96.12%, 90.06% and 90.24% respectively was achieved with the Support Vector Machines, so the use of the electroencephalographic channel F4 is proposed in the detection of anesthetic states.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[estados de sedación]]></kwd>
<kwd lng="es"><![CDATA[señal electroencefalográfica]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[despertar intraoperatorio]]></kwd>
<kwd lng="en"><![CDATA[sedation states]]></kwd>
<kwd lng="en"><![CDATA[electroencephalographic signal]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[intraoperative awakening]]></kwd>
</kwd-group>
</article-meta>
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