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<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-title-group>
        <journal-title>St. Petersburg Polytechnic University Journal: Physics and Mathematics</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Научно-технические ведомости СПбГПУ. Физико-математические науки</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2304-9782, 2618-8686, 2405-7223</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">9</article-id>
      <article-id pub-id-type="doi">10.18721/JPM.13309</article-id>
      <title-group>
        <article-title>A novel physico-mathematical technique of analyzing the quantitative electroencephalograms: development and application</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Разработка и применение нового физико-математического метода анализа количественных электроэнцефалограмм</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Sobolev</surname>
            <given-names>Maxim</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>m.e.sobolev@mail.ru </email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gorelik</surname>
            <given-names>Aleksandr</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>gorelik_a@mail.ru </email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Vlasova</surname>
            <given-names>Olga</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>olvlasova@yandex.ru</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Peter the Great St. Petersburg Polytechnic University</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2020-09-24">
        <day>24</day>
        <month>09</month>
        <year>2020</year>
      </pub-date>
      <volume>13</volume>
      <issue>3</issue>
      <fpage>119</fpage>
      <lpage>129</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://physmath.spbstu.ru/userfiles/files/articles/2020/3/09_119-129_13(3)2020.pdf"/>
      <abstract xml:lang="en">
        <p>The article presents a physical and mathematical model developed by the authors. The model allows analyzing the amplitude-frequency characteristic (AFC) of electroencephalograms (EEG) of a human brain. The proposed method of EEG processing, in contrast to the previously used one, is based on approximating the AFC by an equation that contains a set of coefficients. This method is convenient for comparing data obtained from different subjects and, as found, has diagnostic significance. Previously, only the frequency / amplitude ratio or its inverse was used for evaluations. The results achieved indicate the possibility of differentiating patients of various neuropsychic profiles according to the values of the parametric indicators obtained by approximating the EEG amplitude-frequency response.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>quantitative EEG</kwd>
        <kwd>amplitude-frequency characteristic</kwd>
        <kwd>EEG mathematical analysis</kwd>
        <kwd>schizophrenia</kwd>
        <kwd>dementia</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
