<?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>0188-9532</journal-id>
<journal-title><![CDATA[Revista mexicana de ingeniería biomédica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. ing. bioméd]]></abbrev-journal-title>
<issn>0188-9532</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Ingeniería Biomédica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-95322021000300102</article-id>
<article-id pub-id-type="doi">10.17488/rmib.42.3.3</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Identification of 7 Movements of the Human Hand Using sEMG - 360° on the Forearm]]></article-title>
<article-title xml:lang="es"><![CDATA[Identificación de 7 Movimientos de la Mano Humana Utilizando sEMG - 360° en el Antebrazo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ibarra-Fuentes]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales-Sánchez]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Politécnico Nacional CICATA ]]></institution>
<addr-line><![CDATA[ Querétaro]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>42</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-95322021000300102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-95322021000300102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-95322021000300102&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This document shows the Identification of 7 gestures (movements) of the human hand from sEMG - 360° signals on the forearm. sEMG - 360° is the sEMG measurement through 8 channels every 45° making a total of 360°. When making a hand gesture, there will be 8 independent sEMG signals that will be used to identify the gesture. The 7 gestures to identify are: relaxed hand (closed), open hand (fingers extended), flexion and extension of the little finger, the ring finger, the middle finger, the index finger, and the thumb separately. One hundred samples for each gesture were captured and 3 feature extraction methods were applied in the time domain: mean absolute value (MAV), root mean square value (RMS) and area under the curve (AUC). A vector support machine (SVM) classifier was applied to each extractor. The gestures were identified and the percentage of accuracy in the identification was calculated for each extractor + SVM classifier using the confusion matrix method and including the 8 channels for each gesture. An accuracy of 99.52% was achieved for the identification of the 7 gestures applying sEMG - 360°.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Este documento muestra la identificación de 7 gestos (movimientos) de la mano humana a partir de sEMG - 360° en el antebrazo. sEMG-360 es la medición de sEMG por medio de 8 canales cada 45° haciendo un total de 360°. Al realizar un gesto de la mano se tendrán 8 señales sEMG independientes que se utilizarán para hacer la identificación del movimiento. Los 7 gestos a identificar fueron: mano relajada (cerrada), mano abierta (dedos extendidos), flexión y extensión del dedo meñique, del dedo anular, del dedo medio, del dedo índice y del dedo pulgar por separado. Se capturaron 100 muestras de cada gesto y se aplicaron 3 métodos de extracción de características en el dominio del tiempo: el valor medio absoluto (MAV), valor de la raíz cuadrática media (RMS) y el valor del área bajo la curva (AUC), después se aplicó un clasificador de máquina de soporte vectorial (SVM) a cada método de extracción. Se identificaron los movimientos y se calculó el porcentaje de exactitud en la identificación para cada extractor + clasificador SVM utilizando el método de la matriz de confusión e incluyendo los 8 canales para cada gesto. Se logró un 99.52% de exactitud en la identificación de los gestos de la mano humana aplicando sEMG - 360°.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Electromyography]]></kwd>
<kwd lng="en"><![CDATA[gesture]]></kwd>
<kwd lng="en"><![CDATA[classifier]]></kwd>
<kwd lng="es"><![CDATA[Electromyography]]></kwd>
<kwd lng="es"><![CDATA[gestures]]></kwd>
<kwd lng="es"><![CDATA[classifier]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Visconti]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Gaetani]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Zappatore]]></surname>
<given-names><![CDATA[GA]]></given-names>
</name>
<name>
<surname><![CDATA[Primiceri]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses]]></article-title>
<source><![CDATA[Int J Smart Sens Intell Syst]]></source>
<year>2018</year>
<volume>11</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-25</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tavakoli]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Benussi]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Lourenco]]></surname>
<given-names><![CDATA[JL]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Single channel surface EMG control of advanced prosthetic hands: A simple, low cost and efficient approach]]></article-title>
<source><![CDATA[Expert Syst Appl]]></source>
<year>2017</year>
<volume>79</volume>
<page-range>322</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[W-T]]></given-names>
</name>
<name>
<surname><![CDATA[Lyu]]></surname>
<given-names><![CDATA[Z-J]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[S-T]]></given-names>
</name>
<name>
<surname><![CDATA[Chia]]></surname>
<given-names><![CDATA[T-L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study]]></article-title>
<source><![CDATA[Biocybern Biomed Eng]]></source>
<year>2018</year>
<volume>38</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>126-35</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Krishnan]]></surname>
<given-names><![CDATA[KS]]></given-names>
</name>
<name>
<surname><![CDATA[Saha]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ramachandran]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Recognition of human arm gestures using Myo armband for the game of hand cricket]]></source>
<year>2017</year>
<conf-name><![CDATA[ IEEE 5th Int Symp Robot Intell Sensors (IRIS)]]></conf-name>
<conf-date>2017</conf-date>
<conf-loc>Ottawa </conf-loc>
<page-range>389-94</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mukhopadhyay]]></surname>
<given-names><![CDATA[AK]]></given-names>
</name>
<name>
<surname><![CDATA[Samui]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An experimental study on upper limb position invariant EMG signal classification based on deep neural network]]></article-title>
<source><![CDATA[Biomed Signal Process Control]]></source>
<year>2020</year>
<volume>55</volume>
<page-range>101669</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sánchez Velasco]]></surname>
<given-names><![CDATA[LE]]></given-names>
</name>
<name>
<surname><![CDATA[Arias Montiel]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Guzmán Ramírez]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Lugo González]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A low-cost EMG-controlled anthropomorphic robotic hand for power and precision grasp]]></article-title>
<source><![CDATA[Biocybern Biomed Eng]]></source>
<year>2020</year>
<volume>40</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>221-37</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rascón-Madrigal]]></surname>
<given-names><![CDATA[LH]]></given-names>
</name>
<name>
<surname><![CDATA[Sinecio-Sidrian]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
<name>
<surname><![CDATA[Mejía-Muñoz]]></surname>
<given-names><![CDATA[JM]]></given-names>
</name>
<name>
<surname><![CDATA[Díaz-Román]]></surname>
<given-names><![CDATA[JD]]></given-names>
</name>
<name>
<surname><![CDATA[Canales-Valdiviezo]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Botello-Arredondo]]></surname>
<given-names><![CDATA[AI]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimación en la Intención de Agarres: Cilíndrico, Esférico y Gancho Utilizando Redes Neuronales Profundas]]></article-title>
<source><![CDATA[Rev Mex Ing Biomed]]></source>
<year>2020</year>
<volume>41</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>117-27</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Veer]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Extraction and Analysis of above elbow SEMG for Pattern classification]]></article-title>
<source><![CDATA[J Med Eng Technol]]></source>
<year>2016</year>
<volume>40</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>149-54</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Phinyomark]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Phukpattaranont]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Limsakul]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Feature reduction and selection for EMG signal classification]]></article-title>
<source><![CDATA[Expert Syst Appl]]></source>
<year>2012</year>
<volume>39</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>7420-31</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Resendiz Trejo]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Las máquinas de vectores de soporte para identificación en línea]]></source>
<year>2006</year>
<publisher-loc><![CDATA[México, Honolulu ]]></publisher-loc>
<publisher-name><![CDATA[Centro de Investigaciòn y de Estudios Avanzados, Instituto Politécnico Nacional]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alkan]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Günay]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Identification of EMG signals using discriminant analysis and SVM classifier]]></article-title>
<source><![CDATA[Expert Syst Appl]]></source>
<year>2012</year>
<volume>39</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>44-7</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hassan]]></surname>
<given-names><![CDATA[HF]]></given-names>
</name>
<name>
<surname><![CDATA[Abou-Loukh]]></surname>
<given-names><![CDATA[SJ]]></given-names>
</name>
<name>
<surname><![CDATA[Ibraheem]]></surname>
<given-names><![CDATA[IK]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Teleoperated robotic arm movement using electromyography signal with wearable Myo armband]]></article-title>
<source><![CDATA[J King Saud Univ Eng Sci]]></source>
<year>2020</year>
<volume>32</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>378-87</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ting]]></surname>
<given-names><![CDATA[KM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Confusion Matrix]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Sammut]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Webb]]></surname>
<given-names><![CDATA[GI]]></given-names>
</name>
</person-group>
<source><![CDATA[Ency Mach Learn]]></source>
<year>2010</year>
<publisher-loc><![CDATA[Boston, MA ]]></publisher-loc>
<publisher-name><![CDATA[Springer US]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shamsudin]]></surname>
<given-names><![CDATA[NF]]></given-names>
</name>
<name>
<surname><![CDATA[Basiron]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Saaya]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Rahman]]></surname>
<given-names><![CDATA[AFNA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sentiment classification of unstructured data using lexical based techniques]]></article-title>
<source><![CDATA[J Teknol]]></source>
<year>2015</year>
<volume>77</volume>
<numero>18</numero>
<issue>18</issue>
<page-range>113-20</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
