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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-f-electrical-electronic</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - F: Electrical &amp; Electronic</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">55872</article-id>
<title-group>
<article-title>Complex Analysis of Human Movements Based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Davydova</surname><given-names>Nadezhda</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Davydov</surname><given-names>Maksim</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Osipov</surname><given-names>Anatoly</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Mezhennaya</surname><given-names>Marina</given-names></name></contrib>
</contrib-group>
<aff id="aff1">BELARUS, Belarusian State University of Informatics and Radioelectronics</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2019-01-15">
<day>15</day>
<month>01</month>
<year>2019</year>
</pub-date>
<volume>19</volume>
<issue>F5</issue>
<fpage>15</fpage>
<lpage>26</lpage>
<abstract><p>The task of a complex biomechanical and electrophysiological analysis of human movements is actual for medicine, sports and special work. The article describes an algorithm for creation of electromyographic patterns of human movements. The method of complex estimation of human movements based on the identification of the amplitude-time characteristics of electromyographic patterns is presented. Research of the electromyographic pattern of the test movement “jump up”is described. The classification of motion skills types by the energy contribution of muscles during the movement and by the distribution of muscle efforts in the movement phases is detected.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>digital signal processing</kwd>
<kwd>amplitude-time analysis</kwd>
<kwd>human movements</kwd>
</kwd-group>
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<title>Full Text</title>
<p>The task of a complex biomechanical and electrophysiological analysis of human movements is actual for medicine, sports and special work. The article describes an algorithm for creation of electromyographic patterns of human movements. The method of complex estimation of human movements based on the identification of the amplitude-time characteristics of electromyographic patterns is presented. Research of the electromyographic pattern of the test movement &quot;jump up&quot;is described. The classification of motion skills types by the energy contribution of muscles during the movement and by the distribution of muscle efforts in the movement phases is detected.</p>
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