<?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>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282020000100101</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Real time identification of motor imagery actions on EEG signals.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marcos Rojas]]></surname>
<given-names><![CDATA[Carlos Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chailloux Peguero]]></surname>
<given-names><![CDATA[Juan David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alba Blanco]]></surname>
<given-names><![CDATA[Emiliano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Technological University of Havana (CUJAE)  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<volume>41</volume>
<numero>1</numero>
<fpage>101</fpage>
<lpage>117</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282020000100101&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282020000100101&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282020000100101&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Brain Computer Interfaces (BCI) processing algorithms need powerful computational devices to perform in real time. In this work, a hardware efficient design for the classification of Electroencephalography (EEG) signals representative of two motor imagery task is proposed and implemented on Field Programmable Gate Array (FPGA). Wavelet Packets Decomposition (WPD) is used as feature extraction algorithm and Linear Discriminant Analysis (LDA) as the classifier. The system was designed using System Generator and it was implemented on a Zybo board using Hardware/Software Co-Simulation. Simulation results show an accuracy of 80% during the classification of two motor imagery tasks, a latency of 7.5 ms for a clock frequency of 1.5 MHz, and a power consumption of 0.102 W. In addition, the amount of FPGA resources employed is less than previous similar works, proving that the design system not only achieves a good accuracy but it also does it in an efficient way.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[BCI]]></kwd>
<kwd lng="en"><![CDATA[Wavelet]]></kwd>
<kwd lng="en"><![CDATA[LDA]]></kwd>
<kwd lng="en"><![CDATA[EEG]]></kwd>
<kwd lng="en"><![CDATA[FPGA]]></kwd>
</kwd-group>
</article-meta>
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<name>
<surname><![CDATA[Rani]]></surname>
<given-names><![CDATA[J.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[FPGA Implementation of Discrete Wavelet Transform using Distributed Arithmetic Architecture]]></source>
<year>2015</year>
<conf-name><![CDATA[ International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)]]></conf-name>
<conf-date>2015</conf-date>
<conf-loc>Chennai, T.N., India </conf-loc>
<page-range>326-30</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
