<?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>S1405-55462020000401471</article-id>
<article-id pub-id-type="doi">10.13053/cys-24-4-3318</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sistema computacional para determinar la eficiencia de terapias asistidas por delfines]]></article-title>
<article-title xml:lang="en"><![CDATA[Computational System for Determining the Efficiency of Dolphin-Assisted Therapy]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno Escobar]]></surname>
<given-names><![CDATA[Jesús Jaime]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mireles Hernández]]></surname>
<given-names><![CDATA[Jonatan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales Matamoros]]></surname>
<given-names><![CDATA[Oswaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Urriolagoitia Sosa]]></surname>
<given-names><![CDATA[Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Urriolagoitia Calderón]]></surname>
<given-names><![CDATA[Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Politécnico Nacional Escuela Superior de Ingeniería Mecánica y Eléctrica ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>24</volume>
<numero>4</numero>
<fpage>1471</fpage>
<lpage>1482</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462020000401471&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462020000401471&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462020000401471&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La reciente proliferación de aplicaciones tecnológicas de sensores en terapias a niños con capacidades diferentes, que promueve un comportamiento positivo entre estos niños, ha generado resultados alentadores en el desarrollo de una variedad de habilidades y capacidades en los mismos. La terapia asistida por delfines (TAD) también ha llegado a ser una cuestión de interés público y para los científicos por el tipo de desórdenes que ayuda a tratar. En este trabajo se presenta el desarrollo de un sistema computacional que controla la interacción cerebro-computadora cuando un paciente con diferentes capacidades se somete a una TAD. El estudio se efectuó en las instalaciones del delfinario Delfiniti, ubicado en Ixtapa, Guerrero, México; dicho estudio señala que la actividad cerebral del paciente se incrementó 376 % durante la TAD. Para el desarrollo del sistema se utilizó un sensor TGAM1, el cual se conectó al protocolo de comunicación Bluetooth 4.0, aislándolo de las condiciones ambientales de humedad y agua salada. De esta forma, se exploró el comportamiento de un niño con Trastorno Obsesivo Compulsivo (TOC) y de un niño neurotípico (de control), aplicando para ello la transformada rápida de Fourier (FFT) para el análisis de los electroencefalogramas (EEG) de ambos niños, a través de los cuales se registró su actividad cerebral. Dichos EEG se estudiaron como series de tiempo de voltaje contra tiempo en reposo y durante la TAD, según lo registrado por el primer electrodo frontopolar (FP1) mediante un biosensor EEG TGAM1. Los hallazgos indican que el sistema desarrollado es capaz de medir las fluctuaciones en los EEG durante la TAD, las cuales despliegan un comportamiento colectivo con incrementos positivos en la actividad cerebral de ambos niños que son seguidos por mucha mayor actividad cerebral. Por ende, el cerebro reacciona gradualmente a la TAD en cierto periodo de tiempo. Asimismo, el paciente con TOC alcanzó una aparente relajación, ya que su Densidad del Espectro de Potencia (DEP) decreció 20 %, con respecto a su condición inicial de reposo, mientras que el paciente de control aumentó su DEP 53 %, con respecto a su condición inicial de reposo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The recent proliferation of sensors technology applications in therapies to children disabilities to promote positive behavior among such children has produced optimistic results in developing a variety of skills and abilities in them. Dolphin-Assisted Therapy (DAT) has also become a topic of public and research interest for these disorders intervention and treatment. This work exposes the development of a computational system that controls brain-computer interaction when a patient with different abilities takes a DAT. The study was carried out at Definiti Ixtapa, Guerrero facilities and shows that brain activity increases by 376 % during a DAT. A TGAM1 sensor was used to develop the system, which is connected to the Bluetooth 4.0 communication protocol, which is isolated from environmental conditions, which is brackish and humid. In this way, we explore the behavior of Obsessive Compulsive Disorder and neurotypic children using Fast Fourier Transform (FFT) from Electroencephalogram (EEG). The EEG RAW data are time series that showed the cerebral brain activity, voltage versus time, at rest and during a DAT for both children, as recorded by the first frontopolar electrode (FP1) by means of an EEG biosensor TGAM1 Module. Our findings indicate that this computational system measures the RAW EEG fluctuations during DAT display a collective behavior with positive increments of neuronal activity that could be followed by much more neural activity. Thus, the brain could react to DAT gradually over a period of time. In addition, the patient with OCD gets an apparent relaxation since its Power Spectrum Density (PSD) decreases 20 % regarding its initial rest state meanwhile the control patient increases its PSD 53 % regarding its initial rest state.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Interface cerebro-computadora]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[terapia asistida por delfines]]></kwd>
<kwd lng="es"><![CDATA[sensor TGAM1]]></kwd>
<kwd lng="es"><![CDATA[EEG]]></kwd>
<kwd lng="es"><![CDATA[FFT]]></kwd>
<kwd lng="es"><![CDATA[densidad del espectro de potencia]]></kwd>
<kwd lng="en"><![CDATA[Brain-computer interface]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[dolphin-assisted therapy]]></kwd>
<kwd lng="en"><![CDATA[TGAM1 sensor]]></kwd>
<kwd lng="en"><![CDATA[EEG]]></kwd>
<kwd lng="en"><![CDATA[FFT]]></kwd>
<kwd lng="en"><![CDATA[power spectrum density]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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