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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">zhps</journal-id><journal-title-group><journal-title xml:lang="ru">Журнал прикладной спектроскопии</journal-title><trans-title-group xml:lang="en"><trans-title>Zhurnal Prikladnoii Spektroskopii</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0514-7506</issn><publisher><publisher-name>B. I. Stepanov Institute of Physics of the National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">zhps-426</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>МЕТОД ПОЛУЧЕНИЯ ДИНАМИЧЕСКОГО СПЕКТРА, ОСНОВАННЫЙ НА СУММИРОВАНИИ АБСОЛЮТНОЙ РАЗНОСТИ И СТАТИСТИЧЕСКОЙ ТЕОРИИ</article-title><trans-title-group xml:lang="en"><trans-title>DYNAMIC SPECTRUM EXTRACTION METHOD BASED ON ABSOLUTE DIFFERENCE SUMMATION AND STATISTICAL THEORY</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Li</surname><given-names>G. .</given-names></name><name name-style="western" xml:lang="en"><surname>Li</surname><given-names>G. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Wang</surname><given-names>H. L.</given-names></name><name name-style="western" xml:lang="en"><surname>Wang</surname><given-names>H. L.</given-names></name></name-alternatives><email xlink:type="simple">lelestudent@tju.edu.cn</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Zhou</surname><given-names>M. .</given-names></name><name name-style="western" xml:lang="en"><surname>Zhou</surname><given-names>M. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Peng</surname><given-names>Y. .</given-names></name><name name-style="western" xml:lang="en"><surname>Peng</surname><given-names>Y. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Lin</surname><given-names>L. .</given-names></name><name name-style="western" xml:lang="en"><surname>Lin</surname><given-names>L. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Тяньцзиньский университет</institution></aff><aff xml:lang="en"><institution>Tianjin University</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>10</day><month>03</month><year>2020</year></pub-date><volume>85</volume><issue>6</issue><fpage>933</fpage><lpage>938</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Li G..., Wang H.L., Zhou M..., Peng Y..., Lin L..., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Li G..., Wang H.L., Zhou M..., Peng Y..., Lin L...</copyright-holder><copyright-holder xml:lang="en">Li G..., Wang H.L., Zhou M..., Peng Y..., Lin L...</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://zhps.ejournal.by/jour/article/view/426">https://zhps.ejournal.by/jour/article/view/426</self-uri><abstract><p>Предлагается метод получения динамического спектра, основанный на суммировании абсолютной разности (САР) и статистической теории. САР используется для определения собственного значения по сигналу, полученному с помощью фотоплетизмографии (ФПГ). Для получения конечного динамического спектра применяется статистический метод . Экспериментальные данные ФПГ-сигнала для 133 добровольцев обработаны с помощью нового метода и метода однократной экстракции, а для построения калибровочных моделей использован метод частных наименьших квадратов . По сравнению с однократной экстракцией новый метод показал лучшую способность предсказания. Коэффициент корреляции прогнозного набора увеличился с 0.85 до 0.92, а среднеквадратическая погрешность предсказания уменьшилась с 13.49 до 9.86 г/л. Это доказывает возможность метода значительно улучшить качество динамического спектра. </p></abstract><trans-abstract xml:lang="en"><p>Dynamic spectrum theory has great importance in the field of noninvasive measurement of blood components. To enhance the computational efficiency and data utilization of the existing extraction methods, this paper proposes a new one based on the absolute difference summation (ADS) and statistical theory. The ADS is used to obtain the eigenvalue from a photoplethysmography (PPG) signal. The statistical method is used to obtain the final dynamic spectrum. The experimental data of PPG signal from 133 volunteers were extracted by the new method and the single-trial (ST) extraction method, and the partial least squares model was used to build the calibration models. Compared with the ST extraction, the new method showed better prediction ability. The correlation coefficient of the prediction set increased from 0.85 to 0.92, and the root mean square error of the prediction decreased from 13.49 to 9.86 g/L, which proved that this method can significantly improve the quality of the dynamic spectrum. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>неинвазивное измерение компонентов крови</kwd><kwd>фотоплетизмография</kwd><kwd>динамический спектр</kwd><kwd>суммирование абсолютной разности</kwd><kwd>достоверность моделирования</kwd><kwd>noninvasive measurement of blood components</kwd><kwd>photoplethysmography</kwd><kwd>dynamic spectrum</kwd><kwd>absolute difference summation</kwd><kwd>modeling accuracy</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">J. W. Mcmurdy, G. D. Jay, S. Selim, G. Crawford, Clin. Chem., 54, 264-272 (2008).</mixed-citation><mixed-citation xml:lang="en">J. W. Mcmurdy, G. D. Jay, S. Selim, G. 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