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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">uprinmatus</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Юго-Западного государственного университета. Серия: Управление, вычислительная техника, информатика. Медицинское приборостроение</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2223-1536</issn><publisher><publisher-name>Юго-Западный государственный университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">uprinmatus-13</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>ИНФОРМАЦИОННЫЕ И ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION AND INTELLIGENT SYSTEMS</subject></subj-group></article-categories><title-group><article-title>Разработка системы автоматического диагноза на наличие антител иммуноглобулинов IgG и IgM SARS-CoV-2</article-title><trans-title-group xml:lang="en"><trans-title>Development of an Automatic Diagnosis System for the Presence of Immunoglobulin IgG and IgM SARS - CoV-2</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3097-7037</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Костарев</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Kostarev</surname><given-names>S. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Костарев Сергей Николаевич, д-р технических наук, проф. каф. безопасности жизнедеятельности, Пермский ГАТУ, проф. каф. ВМКСиС, Пермский военный институт ВНГ РФ</p><p>ул. Петропавловская 23, г. Пермь 614000</p><p>ул. Гремячий лог 1, г. Пермь 614030</p></bio><bio xml:lang="en"><p>Sergey N. Kostarev, Dr. of Sci. (Engineering), Professor of the Department of Life Safety, Perm State Agro-Technological University, Professor of the Department of Computers, Complexes, Systems and Networks, Perm Military Institute of National Guard Troops</p><p>23 Petropavlovsk str., Perm 614000</p><p>1 Gremyachy Log str., Perm 614030</p></bio><email xlink:type="simple">iums@dom.raid.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6997-9067</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кочетова</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kochetova</surname><given-names>O. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кочетова Оксана Валерьевна, д-р ветеринарных наук, проф. каф. внутренних незаразных болезней, хирургии и акушерства, Пермский ГАТУ, проф. каф. зоотехнии, Пермский институт ФСИН России</p><p>ул. Петропавловская 23, г. Пермь 614000</p><p>ул. Карпинского 125, г. Пермь 614012</p></bio><bio xml:lang="en"><p>Oksana V. Kochetova, Dr. of Sci. (Veterinary), Professor of the Department of Internal Noncommunicable Diseases, Surgery and Obstetrics, Perm State Agro-Technological University, Professor of the Department of Animal Science, Perm Institute of the FPS</p><p>23 Petropavlovsk str., Perm 614000</p><p>125 Karpinsky str., Perm 614012</p></bio><email xlink:type="simple">kochetovaox@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Татарникова</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tatarnikova</surname><given-names>N. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Татарникова Наталья Александровна,д-р ветеринарных наук, проф., зав. каф. инфекционных болезней</p><p>ул. Гремячий лог 1, г. Пермь 614030</p></bio><bio xml:lang="en"><p>Natalia F. Tatarnikova, Dr. of Sci. (Veterinary), Professor, Head of the Department of Infectious Diseases</p><p>23 Petropavlovsk str., Perm 614000</p></bio><email xlink:type="simple">tatarnikova.n.a@yandex.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Середа</surname><given-names>Т. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Sereda</surname><given-names>T. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Середа Татьяна Геннадьевна, д-р технических наук, проф. каф. безопасности жизнедеятельности </p><p>ул. Петропавловская 23, г. Пермь 614000</p></bio><bio xml:lang="en"><p>Tatayna G. Sereda, Dr. of Sci. (Engineering), Professor of the Department of Life Safety</p><p>23 Petropavlovsk str., Perm 614000</p></bio><email xlink:type="simple">iums@dom.raid.ru</email><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Пермский государственный аграрно-технологический университет имени академика Д. Н. Прянишникова; Пермский военный институт войск национальной гвардии Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm State Agrarian and Technological University named after Academician D. N. Pryanishnikov; Perm Military Institute of the National Guard Troops of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Пермский государственный аграрно-технологический университет имени академика Д. Н. Прянишникова; Пермский институт ФСИН России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm State Agrarian and Technological University named after Academician D. N. Pryanishnikov; Perm Institute of the Federal Penitentiary Service of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Пермский военный институт войск национальной гвардии Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm State Agrarian and Technological University named after Academician D. N. Pryanishnikov</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>Пермский государственный аграрно-технологический университет имени академика Д. Н. Прянишникова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Perm State Agrarian and Technological University named after Academician D. N. Pryanishnikov</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>02</day><month>05</month><year>2023</year></pub-date><volume>11</volume><issue>2</issue><fpage>8</fpage><lpage>24</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Костарев С.Н., Кочетова О.В., Татарникова Н.А., Середа Т.Г., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Костарев С.Н., Кочетова О.В., Татарникова Н.А., Середа Т.Г.</copyright-holder><copyright-holder xml:lang="en">Kostarev S.N., Kochetova O.D., Tatarnikova N.F., Sereda T.G.</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://uprinmatus.elpub.ru/jour/article/view/13">https://uprinmatus.elpub.ru/jour/article/view/13</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. SARS-CoV-2 - новое эпидемическое инфекционное заболевание, характеризующееся сравнительно высокой контагиозностью и вероятностью развития жизнеугрожающих осложнений в виде острого респираторного дистресс-синдрома, острой дыхательной и полиорганной недостаточности. Возбудитель заболевания - оболочечный зоонозный РНК-вирус SARS-CoV-2 относится к семейству Coronaviridae, роду Betacoronavirus, как и известные ранее вирусы SARS-CoV и MERS-CoV, которые вызывают тяжелый острый респираторный синдром и ближневосточный респираторный синдром соответственно. Эпидемия SARS-CoV-2 быстро распространилась по всему миру и в настоящее время охватывает 213 стран, в которых зарегистрировано более 1,6 млн заболевших, из которых на данный момент умерло более 90 000 человек. В весенне-летний период 2021 г. прогнозируется третья волна вспышки заболевания коронавирусом SARS-CoV-2. Доступность анализа на наличие антител иммуноглобулинов SARS-CoV-2 позволит своевременно обнаружить заболевание и принять меры к лечению и самоизоляции. Целью исследования является разработка модуля автоматического диагноза для прибора экспресс­анализатора на наличие антител иммуноглобулинов IgG и IgM SARS-CoV-2.</p><p>Методы исследования основываются на общей теории систем, теории конечных автоматов, минимизации логических выражений. В качестве программно-аппаратного комплекса используется программируемый контроллер Отrоп. Разработан интерфейс оператора-аналитика с использованием СХ- Designer. Программирование микроконтроллера выполнено на языке Ladder Diagram (МЭК 61131-3). Наличие контрольного сигнала позволит повысить достоверность анализа. Экспресс-анализатор построен на методике Immunosorbent Assay (ELISA), использующей жидкофазную иммуноферментную среду.</p></sec><sec><title>Результаты</title><p>Результаты. Разработано программное обеспечение для проектирования прибора жидкофазного анализатора на наличие антител иммуноглобулинов IgM, IgG SARS-CoV-2 на базе микроконтроллера СР1Н Отrоп. Проведено имитационное моделирование, которое показало правильную логику работы проектируемого прибора и удовлетворительные результаты по постановке предварительного диагноза заболевания.</p></sec><sec><title>Заключение</title><p>Заключение. Производство портативных экспресс-анализаторов на наличие антител иммуноглобулинов IgG и IgM SARS-CoV-2 позволит оперативно определять стадию заболевания и будет способствовать своевременной изоляции и лечению.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose of research</title><p>Purpose of research. SARS-CoV-2 is a new epidemic infectious disease characterized by a relatively high contagiousness and the likelihood of life-threatening complications in the form of acute respiratory distress syndrome, acute respiratory and multiple organ failure. The causative agent of the disease, the enveloped zoonotic RNA virus SARS-CoV-2, belongs to the Coronaviridae family, the genus Betacoronavirus, as well as the previously known SARS- CoV and MERS-CoV viruses, which cause severe acute respiratory syndrome and Middle East respiratory syndrome, respectively. The COVID-19 epidemic has quickly spread around the world and currently covers 213 countries, in which more than 1.6 million cases have been registered, of which more than 90,000 people have died so far. In the spring- summer period of 2021, the third wave of the SARS-CoV-2 coronavirus outbreak is predicted. The availability of an analysis for the presence of antibodies of immunoglobulin’s SARS-CoV-2 will allow timely detection of the disease and take measures for treatment and self-isolation. The aim of the study is to develop an automatic diagnosis module for the rapid analyzer device for the presence of IgG and IgM SARS-CoV-2 immunoglobulin antibodies.</p><p>Methods of research are based on general systems theory, theory of finite automata, and minimization of logical expressions. An Omron programmable controller is used as a hardware and software complex. An operator-analyst interface has been developed using CX-Designer. The microcontroller is programmed in Ladder Diagram language (IEC 61131-3). The presence of a control signal will increase the reliability of the analysis. The express analyzer is based on the immunosorbent assay (ELISA) method using a liquid-phase enzyme immunoassay.</p></sec><sec><title>Results</title><p>Results. Software has been developed for designing a liquid-phase analyzer device for the presence of immunoglobulin antibodies IgM, IgG SARS - CoV-2 on the basis of the CP1H Omron microcontroller. Simulation modeling was carried out, which showed the correct logic of the designed device and satisfactory results in the formulation of a preliminary diagnosis of the disease.</p></sec><sec><title>Conclusion</title><p>Conclusion. The production of portable express analyzers for the presence of immunoglobulin IgG and IgM antibodies SARS-CoV-2 will allow to quickly determine the stage of the disease and will contribute to timely isolation and treatment.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>SARS-CoV-2</kwd><kwd>Оmrоn</kwd><kwd>Ladder Diagram</kwd></kwd-group><kwd-group xml:lang="en"><kwd>SARS-CoV-2</kwd><kwd>Omron</kwd><kwd>Ladder Diagram</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">Covid-19. Этиология, патогенез, диагностика и лечение / В. П. Баклаушев, С. В. Кулемзин, А. А. Горчаков, Г. М. Юсубалиева, В. Н. Лесняк // Клиническая практика. 2020. 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