<?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>0035-001X</journal-id>
<journal-title><![CDATA[Revista mexicana de física]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. fis.]]></abbrev-journal-title>
<issn>0035-001X</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Física]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0035-001X2022000400012</article-id>
<article-id pub-id-type="doi">10.31349/revmexfis.68.041102</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[EEG motor imagery classification using machine learning techniques]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Páez-Amaro]]></surname>
<given-names><![CDATA[R. T.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno-Barbosa]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-López]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zepeda-Fernández]]></surname>
<given-names><![CDATA[C. H.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rebolledo-Herrera]]></surname>
<given-names><![CDATA[L. F.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Celis-Alonso]]></surname>
<given-names><![CDATA[B. de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Benemérita Universidad Autónoma de Puebla Facultad de Ciencias Físico Matemáticas ]]></institution>
<addr-line><![CDATA[Puebla Puebla]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<volume>68</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0035-001X2022000400012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0035-001X2022000400012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0035-001X2022000400012&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Background. A brain-machine interface (BMI) is a device or experimental setup that receives a brain signal, classifies it and then uses it as a computer command. There is not a consensus on which kind of learning methodology (deep learning, convolutional networks, AI, etc.) and/or type of algorithms in each methodology, are best to run BMI&#8217;s. Objective. The aim of this work was to build a low-cost, portable, easy-to-use and a reliable Motor Imagery Electro-encephalography (EEG-MI) based BMI; comparing different algorithms to find the one that best satisfies such conditions. Methods. In this study, motor imagery (MI) EEG signals, from both PhysioNet public data and our own laboratory data obtained using an Emotiv headset, were classified with four machine learning algorithms. These algorithms were: Common spatial patterns (CSP) combined with linear discriminant analysis (LDA), Deep neural network (DNN), convolutional neural network (CNN) and finally Riemannian minimum distance to mean (RMDM). Results. The mean accuracy for each method was 78%, 66%, 60% and 80% respectively. The best results were obtained for the baseline vs Motor Imagery (MI) comparison. With global-training public data, an accuracy between 86.4% and 99.9% was achieved. With global-training lab data, the accuracy was above 99% for the CSP and RMDM cases. For lab data, the classification/prediction computing time per event were 8.3 ms, 18.1 ms, 62 ms and 9.9 ms, respectively. In the discussion a comparison between the results presented here and state-of-the-art of methodologies and algorithms for BMI&#8217;s can be found. Conclusions. The CSP and RMDM algorithms resulted in fast (computing time) and effective (success rate) tools for their implementation as deep learning algorithms in BMIs.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[BMI]]></kwd>
<kwd lng="en"><![CDATA[EEG]]></kwd>
<kwd lng="en"><![CDATA[Machine Learning]]></kwd>
<kwd lng="en"><![CDATA[motor imagery]]></kwd>
<kwd lng="en"><![CDATA[pattern classification]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="">
<collab>Organización Mundial de la Salud</collab>
<source><![CDATA[Informe Mundial Sobre la Discapacidad. Resumen]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="">
<collab>Consejo Nacional para el Desarrollo y la Inclusión de las Personas con Discapacidad</collab>
<source><![CDATA[La Esclerosis Lateral Amiotrófica ELA]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="">
<collab>Instituto Nacional de Estadística y Geografía</collab>
<source><![CDATA[Población con limitación o discapacidad por entidad federativa y tipo de actividad que realiza o condición mental según sexo]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="">
<collab>Biblioteca de Publicaciones Oficiales del Gobierno de la República</collab>
<source><![CDATA[Diagnóstico sobre la situación de las personas con discapacidad en México]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Clerc]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bougrain]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lotte]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Brain-Computer Interfaces 1: Foundations and Methods]]></source>
<year>2016</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Wiley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Graimann]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Allison]]></surname>
<given-names><![CDATA[B. Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Pfurtscheller]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Brain-Computer Interfaces Revolutionizing Human-Computer Interaction]]></source>
<year>2013</year>
<publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer Berlin]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mizuguchi]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Nakata]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Uchida]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kanosue]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Motor imagery and sport performance]]></article-title>
<source><![CDATA[The Journal of Physical Fitness and Sports Medicine]]></source>
<year>2012</year>
<volume>1</volume>
<page-range>103</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tyagi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nehra]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Brain-computer interface: a thought translation device turning fantasy into reality]]></article-title>
<source><![CDATA[Biomedical Engineering and Technology]]></source>
<year>2013</year>
<volume>11</volume>
<page-range>197</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Scherer]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vidaurre]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Diez]]></surname>
<given-names><![CDATA[Pablo]]></given-names>
</name>
</person-group>
<source><![CDATA[Motor imagery based brain-computer interfaces, Smart Wheelchairs and Brain-Computer Interfaces]]></source>
<year>2018</year>
<page-range>171-95</page-range><publisher-name><![CDATA[Academic Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olías]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Estudio del método Common Spatial Patterns y sus variantes en interfaces cerebro-ordenador]]></source>
<year>2016</year>
<publisher-name><![CDATA[Escuela Técnica Superior de Ingeniería, Universidad de Sevilla]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mahmood]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zainab]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmad]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Saeed]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kamboh]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Classification of multi-class motor imagery EEG using four band common spatial pattern]]></source>
<year>2017</year>
<conf-name><![CDATA[ 39Annual International Conference of the IEEE Engineering in Medicine and Biology Society]]></conf-name>
<conf-date>2017</conf-date>
<conf-loc> </conf-loc>
<page-range>1034</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Blankertz]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Tomioka]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Lemm]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kawanabe]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Muller]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimizing Spatial filters for Robust EEG Single-Trial Analysis]]></article-title>
<source><![CDATA[IEEE Signal Processing Magazine]]></source>
<year>2008</year>
<volume>25</volume>
<page-range>41</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Acuña]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Procesamiento de señales electroencefalográficas en un sistema embebido para una interfaz cerebro máquina]]></source>
<year>2017</year>
<publisher-name><![CDATA[Pontificia Universidad Católica del Perú]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="">
<collab>SciKit Learn</collab>
<source><![CDATA[1.2. Linear and Quadratic Discriminant Analysis]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguiar]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Yanez]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Benitez]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Low complexity approach for controlling a robotic arm using the Emotiv EPOC headset]]></article-title>
<source><![CDATA[IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kolodziej]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Majkowski]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zapala]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Rak]]></surname>
<given-names><![CDATA[R. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Francuz]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Methods of Power-Band Extraction Techniques for BCI Classification]]></source>
<year>2018</year>
<conf-name><![CDATA[ 19tInternational Conference Computational Problems of Electrical Engineering]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhattacharyya]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hossain]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Konar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tibarewala]]></surname>
<given-names><![CDATA[D. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramadoss]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detection of Fast and Slow Hand Movements from Motor Imagery EEG Signals]]></article-title>
<source><![CDATA[Smart Innovation, Systems and Technologies Advanced Computing, Networking and Informatics]]></source>
<year>2014</year>
<volume>1</volume>
<page-range>645</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<source><![CDATA[Feature extraction and classification of EEG for imagery movement based on mu/beta rhythms]]></source>
<year>2010</year>
<conf-name><![CDATA[ 3International Conference on Biomedical Engineering and Informatics]]></conf-name>
<conf-date>2010</conf-date>
<conf-loc> </conf-loc>
<page-range>891</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ko]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Song]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Komarov]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<source><![CDATA[Developing a few-channel hybrid BCI system by using motor imagery with SSVEP assist]]></source>
<year>2014</year>
<conf-name><![CDATA[ International Joint Conference on Neural Networks (IJCNN)]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
<page-range>4114</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Fusion Feature Learning Network for MI-EEG Classification]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2018</year>
<volume>6</volume>
<page-range>79050</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elstob]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Secco]]></surname>
<given-names><![CDATA[E. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Low Cost Eeg Based Bci Prosthetic Using Motor Imagery]]></article-title>
<source><![CDATA[International Journal of Information Technology Convergence and Services]]></source>
<year>2016</year>
<volume>6</volume>
<page-range>23</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duda]]></surname>
<given-names><![CDATA[R. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Stork]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Hart]]></surname>
<given-names><![CDATA[P. E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Pattern classification]]></source>
<year>2000</year>
<edition>2</edition>
<publisher-name><![CDATA[John Wiley &amp; Sons]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schmidhuber]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning in neural networks: An overview]]></article-title>
<source><![CDATA[Neural Networks]]></source>
<year>2015</year>
<volume>61</volume>
<page-range>85</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Benitez]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Toscano]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[On the use of the Emotiv EPOC neuroheadset as a low cost alternative for EEG signal acquisition]]></source>
<year>2016</year>
<conf-name><![CDATA[ IEEE Colombian Conference on Communications and Computing (COLCOM)]]></conf-name>
<conf-date>2016</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amarasinghe]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wijayasekara]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Manic]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[EEG based brain activity monitoring using Artificial Neural Networks]]></source>
<year>2014</year>
<conf-name><![CDATA[ 7International Conference on Human System Interactions (HSI)]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
<page-range>61</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hamedi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Salleh]]></surname>
<given-names><![CDATA[S.-H.]]></given-names>
</name>
<name>
<surname><![CDATA[Noor]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohammad-Rezazadeh]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<source><![CDATA[Neural network-based three-class motor imagery classification using time-domain features for BCI applications]]></source>
<year>2014</year>
<conf-name><![CDATA[ IEEE REGION 10 SYMPOSIUM]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
<page-range>204</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chatterjee]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bandyopadhyay]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[EEG Based Motor Imagery Classification Using SVM and MLP]]></source>
<year>2016</year>
<conf-name><![CDATA[ 2International Conference on Computational Intelligence and Networks (CINE)]]></conf-name>
<conf-date>2016</conf-date>
<conf-loc> </conf-loc>
<page-range>84</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tyagi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nehra]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Classification of motor imagery EEG signals using SVM, k-NN and ANN]]></article-title>
<source><![CDATA[CSI Transactions on ICT]]></source>
<year>2016</year>
<volume>4</volume>
<page-range>135</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dhillon]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Verma]]></surname>
<given-names><![CDATA[G. K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convolutional neural network: A review of models, methodologies and applications to object detection]]></article-title>
<source><![CDATA[Progress in Artificial Intelligence]]></source>
<year>2019</year>
<volume>9</volume>
<page-range>85</page-range></nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aloysius]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Geetha]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review on deep convolutional neural networks]]></article-title>
<source><![CDATA[International Conference on Communication and Signal Processing (ICCSP)]]></source>
<year>2017</year>
<page-range>588</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A comprehensive review on convolutional neural network in machine fault diagnosis]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2020</year>
<volume>417</volume>
<page-range>36</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tabar]]></surname>
<given-names><![CDATA[Y. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Halici]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel deep learning approach for classification of EEG motor imagery signals]]></article-title>
<source><![CDATA[Journal of Neural Engineering]]></source>
<year>2016</year>
<volume>14</volume>
<page-range>1</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>33</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tian]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Study on Classification of Left-Right Hands Motor Imagery EEG Signals Based on CNN]]></article-title>
<source><![CDATA[IEEE 17th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)]]></source>
<year>2018</year>
<page-range>324</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>34</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dose]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Müller]]></surname>
<given-names><![CDATA[J. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Iversen]]></surname>
<given-names><![CDATA[H. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Puthusserypady]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An end-to-end deep learning approach to MI-EEG signal classification for BCIs]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2018</year>
<volume>114</volume>
<page-range>532</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>35</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chaudhary]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Taran]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bajaj]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Sengur]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification]]></article-title>
<source><![CDATA[IEEE Sensors Journal]]></source>
<year>2019</year>
<volume>19</volume>
<page-range>1</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tayeb]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Fedjaev]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghaboosi]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Richter]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Everding]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Qu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Conradt]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2019</year>
<volume>19</volume>
<page-range>1</page-range></nlm-citation>
</ref>
<ref id="B37">
<label>37</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lotte]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Bougrain]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Cichocki]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Clerc]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Congedo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rakotomamonjy]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Yger]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of classification algorithms for EEG-based brain-computer interfaces: A 10 year update]]></article-title>
<source><![CDATA[Journal of Neural Engineering]]></source>
<year>2018</year>
<volume>15</volume>
<page-range>1</page-range></nlm-citation>
</ref>
<ref id="B38">
<label>38</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Congedo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Barachant]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bhatia]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review]]></article-title>
<source><![CDATA[Brain-Computer Interfaces]]></source>
<year>2017</year>
<volume>4</volume>
<page-range>155</page-range></nlm-citation>
</ref>
<ref id="B39">
<label>39</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goldberger]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Amaral]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Glass]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Hausdorff]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ivanov]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mark]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mietus]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Moody]]></surname>
<given-names><![CDATA[G. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Peng]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Stanley]]></surname>
<given-names><![CDATA[H. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals]]></article-title>
<source><![CDATA[Circulation]]></source>
<year>2000</year>
<volume>101</volume>
<page-range>2015</page-range></nlm-citation>
</ref>
<ref id="B40">
<label>40</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wolpaw]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Mcfarland]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Vaughan]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Schalk]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Wadsworth Center Brain-Computer Interface (BCI) Research and Development Program]]></article-title>
<source><![CDATA[IEEE Transactions on Neural Systems and Rehabilitation Engineering]]></source>
<year>2003</year>
<volume>11</volume>
<page-range>204</page-range></nlm-citation>
</ref>
<ref id="B41">
<label>41</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schalk]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[McFarland]]></surname>
<given-names><![CDATA[D.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hinterberger]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Birbaumer]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Wolpaw]]></surname>
<given-names><![CDATA[J.R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[BCI2000: A General-Purpose Brain-Computer Interface (BCI) System]]></article-title>
<source><![CDATA[IEEE Transactions on Biomedical Engineering]]></source>
<year>2004</year>
<volume>51</volume>
<page-range>1034</page-range></nlm-citation>
</ref>
<ref id="B42">
<label>42</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brunner]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Leeb]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Müller-Putz]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Schlögl]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pfurtscheller]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[BCI Competition 2008 - Graz data set A]]></source>
<year>2008</year>
<volume>IV</volume>
<publisher-name><![CDATA[BCI Competition]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B43">
<label>43</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[H. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Convolution Neural Networks Scheme for Classification of Moto Imagery EEG based on Wavelet Time-Frequency Image]]></article-title>
<source><![CDATA[International Conference on Information Networking (ICOIN)]]></source>
<year>2018</year>
<page-range>906</page-range></nlm-citation>
</ref>
<ref id="B44">
<label>44</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[T. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsai]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Classification of EEG Motor Imagery Using Support Vector Machine and Convolutional Neural Network]]></source>
<year>2018</year>
<conf-name><![CDATA[ International Automatic Control Conference (CACS)]]></conf-name>
<conf-date>2018</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B45">
<label>45</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dozat]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Incorporating Nesterov Momentum into Adam]]></article-title>
<source><![CDATA[ICLR Workshop]]></source>
<year>2016</year>
<volume>1</volume>
</nlm-citation>
</ref>
<ref id="B46">
<label>46</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stock]]></surname>
<given-names><![CDATA[V. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Balbinot]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Movement imagery classification in EMOTIV cap based system by Naive Bayes]]></source>
<year>2016</year>
<conf-name><![CDATA[ 38Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)]]></conf-name>
<conf-date>2016</conf-date>
<conf-loc> </conf-loc>
<page-range>4435</page-range></nlm-citation>
</ref>
<ref id="B47">
<label>47</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fakhruzzaman]]></surname>
<given-names><![CDATA[M. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Riksakomara]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Suryotrisongko]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EEG Wave Identification in Human Brain with Emotiv EPOC for Motor Imagery]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2015</year>
<volume>72</volume>
<page-range>269</page-range></nlm-citation>
</ref>
<ref id="B48">
<label>48</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fatmawati]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Wijaya]]></surname>
<given-names><![CDATA[S. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Prawito]]></surname>
</name>
</person-group>
<source><![CDATA[Development Prototype System of Arms Motor Imagery Utilizing Electroencephalography Signals (EEG) from Emotiv with Probabilistic Neural Network (PNN) as Signal Analysis]]></source>
<year>2017</year>
<conf-name><![CDATA[ 5International Conference on Instrumentation, Communications]]></conf-name>
<conf-loc> </conf-loc>
<page-range>179</page-range></nlm-citation>
</ref>
<ref id="B49">
<label>49</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Qi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ming]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[An EEG study on hand force imagery for brain-computer interfaces]]></source>
<year>2017</year>
<conf-name><![CDATA[ 8International IEEE/EMBS Conference on Neural Engineering (NER)]]></conf-name>
<conf-date>2017</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B50">
<label>50</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Mu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Classification of Motor Imagery EEG Signals Based on Energy Entropy]]></source>
<year>2009</year>
<conf-name><![CDATA[ International Symposium on Intelligent Ubiquitous Computing and Education]]></conf-name>
<conf-date>2009</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B51">
<label>51</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[An]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Deep Learning Method for Classification of EEG Data Based on Motor Imagery]]></article-title>
<source><![CDATA[Lecture Notes in Computer Science]]></source>
<year>2014</year>
<page-range>203</page-range></nlm-citation>
</ref>
<ref id="B52">
<label>52</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mohammadpour]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghorbanian]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mozaffari]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Comparison of EEG signal features and ensemble learning methods for motor imagery classification]]></source>
<year>2016</year>
<conf-name><![CDATA[ Eighth International Conference on Information and Knowledge Technology (IKT)]]></conf-name>
<conf-date>2016</conf-date>
<conf-loc> </conf-loc>
<page-range>288</page-range></nlm-citation>
</ref>
<ref id="B53">
<label>53</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bentlemsan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zemouri]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouchaffra]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Yahya-Zoubir]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferroudji]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Random Forest and Filter Bank Common Spatial Patterns for EEG-Based Motor Imagery Classification]]></source>
<year>2014</year>
<conf-name><![CDATA[ 5International Conference on Intelligent Systems, Modelling and Simulation]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B54">
<label>54</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhaduri]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Khasnobish]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bose]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Tibarewala]]></surname>
<given-names><![CDATA[D. N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Classification of lower limb motor imagery using K Nearest Neighbor and Naive-Bayesian classifier]]></source>
<year>2016</year>
<conf-name><![CDATA[ 3International Conference on Recent Advances in Information Technology (RAIT)]]></conf-name>
<conf-date>2016</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B55">
<label>55</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shukla]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Chaurasiya]]></surname>
<given-names><![CDATA[R. K.]]></given-names>
</name>
</person-group>
<source><![CDATA[An Experimental Analysis of Motor Imagery EEG Signals Using Feature Extraction and Classification Methodologies]]></source>
<year>2018</year>
<conf-name><![CDATA[ International Conference on Computing, Power and Communication Technologies (GUCON)]]></conf-name>
<conf-date>2018</conf-date>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
