<?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>0864-0300</journal-id>
<journal-title><![CDATA[Revista Cubana de Investigaciones Biomédicas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Invest Bioméd]]></abbrev-journal-title>
<issn>0864-0300</issn>
<publisher>
<publisher-name><![CDATA[ECIMED]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0864-03002019000200277</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sistema para medición y predicción de la intensión de movimiento]]></article-title>
<article-title xml:lang="en"><![CDATA[System for measurement and prediction of motion intention]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Plaza Torres]]></surname>
<given-names><![CDATA[Mauricio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bernal Castillo]]></surname>
<given-names><![CDATA[Fredy]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Militar Nueva Granada  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</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>38</volume>
<numero>2</numero>
<fpage>277</fpage>
<lpage>295</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0864-03002019000200277&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0864-03002019000200277&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0864-03002019000200277&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN En la actualidad, los dispositivos de asistencia para el movimiento humano como exoesqueletos se utilizan ampliamente para resolver problemas ergonómicos en tareas como el trabajo repetitivo, la rehabilitación, etc., esto permite mantener o mejorar el nivel de calidad de vida del usuario lo que permite nuevos movimientos o reduce la fatiga al final de un día de trabajo. El estudio y desarrollo de estos exoesqueletos requiere en gran medida parámetros externos (condiciones de operación y propósito) y parámetros internos del movimiento. Estos requisitos y características son aspectos fundamentales para detectar qué tipo de acción desea realizar en el proceso de movimiento del cuerpo. El control de los exoesqueletos que se utilizan en la actualidad se suele realizar manualmente o la reacción al movimiento detectado, causando problemas de demoras en la realización del movimiento o la incomodidad de llevar a cabo el mismo, por lo que hoy por hoy se realizan estudios para identifique de manera fiel la acción que el usuario intenta realizar y apoye el movimiento desde antes de que comenzara. El objetivo del proyecto es identificar de la intensión de movimiento de personas mediante señales de electroencefalografía y electromiografía de superficie como punto de partida para futuros métodos de control de exoesqueletos. Como resultado del estudio, se obtuvo el diseño y la implementación de un sistema para obtener, procesar e identificar señales electrofisiológicas para predecir la intención de movimiento de los miembros inferiores con porcentajes de aciertos superiores a 86,66 %.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT At present, assistive devices for human movement such as exoskeletons are widely used to solve ergonomic problems in tasks such as repetitive work, rehabilitation, etc., this allows maintaining or improving the level of quality of life of the user which allows new movements or reduces fatigue at the end of a work day. The study and development of these exoskeletons largely requires external parameters (operating conditions and purpose) and internal movement parameters. These requirements and characteristics are fundamental aspects to detect what kind of action you want to perform in the process of body movement. The control of the exoskeletons that are currently used is usually done manually or the reaction to the movement detected, causing problems of delays in the realization of the movement or the discomfort of carrying out the movement, so studies are currently carried out to faithfully identify the action that the user tries to perform and support the movement from before it began. The objective of the project is to identify the intention of movement of people by means of electroencephalography and surface electromyography signals as a starting point for future exoskeleton control methods. As a result of the study, the design and implementation of a system was obtained to obtain, process and identify electrophysiological signals to predict the intention of movement of the lower limbs with success rates greater than 86.66%.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[exoesqueleto]]></kwd>
<kwd lng="es"><![CDATA[electroencefalografía]]></kwd>
<kwd lng="es"><![CDATA[electromiografía]]></kwd>
<kwd lng="es"><![CDATA[intensión de movimiento]]></kwd>
<kwd lng="en"><![CDATA[exoskeleton]]></kwd>
<kwd lng="en"><![CDATA[electroencephalography]]></kwd>
<kwd lng="en"><![CDATA[electromyography]]></kwd>
<kwd lng="en"><![CDATA[movement intent]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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