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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">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.55452/1998-6688-2024-21-3-78-89</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz29-1371</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>КОМПЬЮТЕРНЫЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE</subject></subj-group></article-categories><title-group><article-title>РАЗРАБОТКА И АНАЛИЗ ДАННЫХ ROBO-PEN ДЛЯ ДИАГНОСТИКИ БОЛЕЗНИ АЛЬЦГЕЙМЕРА: ПРЕДВАРИТЕЛЬНЫЕ РЕЗУЛЬТАТЫ</article-title><trans-title-group xml:lang="en"><trans-title>DEVELOPMENT AND DATA ANALYSIS OF A ROBO-PEN FOR ALZHEIMER’S DISEASE DIAGNOSIS: PRELIMINARY RESULTS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-1917-169X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Базарбеков</surname><given-names>И. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Bazarbekov</surname><given-names>I. М.</given-names></name></name-alternatives><bio xml:lang="ru"><p>докторант, сениор-лектор </p><p>050040, г. Алматы</p></bio><bio xml:lang="en"><p>PhD student, Senior Lecturer </p><p>050040, Almaty</p></bio><email xlink:type="simple">ikram.bazarbekov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8700-1852</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ипалакова</surname><given-names>М. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Ipalakova</surname><given-names>M. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к.т.н., ассоциированный профессор </p><p>050040, г. Алматы</p></bio><bio xml:lang="en"><p>Cand. Tech. Sc., Associate Professor </p><p>050040, Almaty</p></bio><email xlink:type="simple">m.ipalakova@iitu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6581-2622</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дайнеко</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Daineko</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, ассоциированный профессор </p><p>050040, г. Алматы</p></bio><bio xml:lang="en"><p>PhD, Associate Professor </p><p>050040, Almaty</p></bio><email xlink:type="simple">y.daineko@iitu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8761-4272</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муханов</surname><given-names>С. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Mukhanov</surname><given-names>S. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, ассистент-профессор </p><p>050040, г. Алматы</p></bio><bio xml:lang="en"><p>PhD, Assistant professor  </p><p>050040, Almaty</p></bio><email xlink:type="simple">s.mukhanov@iitu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Международный университет информационных технологий<country>Казахстан</country></aff><aff xml:lang="en">International Information Technology University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>01</day><month>10</month><year>2024</year></pub-date><volume>21</volume><issue>3</issue><fpage>78</fpage><lpage>89</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Базарбеков И.М., Ипалакова М.Т., Дайнеко Е.А., Муханов С.М., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Базарбеков И.М., Ипалакова М.Т., Дайнеко Е.А., Муханов С.М.</copyright-holder><copyright-holder xml:lang="en">Bazarbekov I.М., Ipalakova M.T., Daineko E.A., Mukhanov S.B.</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://vestnik.kbtu.edu.kz/jour/article/view/1371">https://vestnik.kbtu.edu.kz/jour/article/view/1371</self-uri><abstract><p>Болезнь Альцгеймера (БА) представляет собой значительную проблему современной медицины, требующую ранних и точных методов диагностики для эффективного управления ее прогрессированием. В данном исследовании рассматривается разработка и применение Robo-pen, инновационного диагностического инструмента, предназначенного для обнаружения ранних признаков когнитивного снижения с помощью детального анализа почерка. Robo-pen, оснащенный датчиком MPU-9250, фиксирует трехмерные координаты, скорость и ускорение движений письма, что важно для оценки пространственного контроля, постоянства движений, вариаций скорости и способности модулировать скорость и силу движения – параметров, часто нарушенных при когнитивных расстройствах, таких как БА. В исследовании приняли участие 20 пациентов с диагнозом БА и 18 здоровых контрольных участников, сопоставленных по возрасту и уровню образования. Сбор данных включал задания, такие как переписывание предложений, перерисовка фигур и переписывание цифр, с обработкой данных с помощью программного обеспечения CoolTerm с частотой дискретизации 18 Гц. Описательная статистика показала, что группа с БА продемонстрировала более низкие средние значения для данных гироскопа и акселерометра, что указывает на более медленные и менее изменчивые движения по сравнению с контрольной группой. T-тесты подтвердили значительные различия (p &lt; 0.001) по всем измеряемым параметрам между группами БА и контроля. Результаты подтверждают потенциал Robo-pen как неинвазивного и экономически эффективного диагностического инструмента для раннего выявления БА. Путем фиксирования тонких нейромоторных изменений Robo-pen способствует более ранней диагностике и своевременному вмешательству, что может изменить течение болезни и улучшить результаты для пациентов. Это исследование представляет собой значительный шаг вперед в раннем выявлении БА, подчеркивая перспективы Robo-pen как преобразующего инструмента в диагностике и управлении нейродегенеративными заболеваниями.</p></abstract><trans-abstract xml:lang="en"><p>Alzheimer’s Disease (AD) poses a significant challenge in contemporary medicine, necessitating early and accurate diagnostic methods to manage its progression effectively. This study explores the development and application of the Robo-pen, an innovative diagnostic tool designed to detect early signs of cognitive decline through detailed handwriting analysis. The Robo-pen, equipped with an MPU-9250 sensor, captures three-dimensional coordinates, velocity, and acceleration of handwriting movements, crucial for assessing spatial control, movement consistency, speed variations, and the ability to modulate movement speed and force–parameters often disrupted in cognitive impairments like AD. Participants included 20 patients diagnosed with AD and 18 healthy controls, matched in age and educational levels. Data collection involved tasks such as sentence rewriting, figure redrawing, and digit rewriting, processed using CoolTerm software at a sampling rate of 18 Hz. Descriptive statistics revealed that the AD group exhibited lower mean values for gyroscope and acceleration data, indicating slower and less variable movements compared to the control group. T-tests confirmed significant differences (p &lt; 0.001) across all measured parameters between the AD and control groups. The results support the potential of the Robo-pen as a non-invasive, cost-effective diagnostic tool for early detection of AD. By capturing subtle neuromotor changes, the Robo-pen facilitates earlier diagnosis and timely intervention, potentially altering the disease trajectory and improving patient outcomes. This study marks a significant advancement in the early detection of AD, highlighting the Robo-pen’s promise as a transformative tool in neurodegenerative disease diagnosis and management. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>болезнь Альцгеймера</kwd><kwd>легкие когнитивные нарушения</kwd><kwd>Robo-pen</kwd><kwd>почерк</kwd><kwd>анализ данных</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Alzheimer’s disease</kwd><kwd>mild cognitive impairment</kwd><kwd>Robo-pen</kwd><kwd>handwriting</kwd><kwd>data analysis</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">Kourtis L.C., Regele O.B., Wright J.M., Jones G.B. Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity. NPJ Digit Med., 2019. https://doi.org/10.1038/s41746-019-0084-2.</mixed-citation><mixed-citation xml:lang="en">1 Kourtis L.C., Regele O.B., Wright J.M., Jones G.B. 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