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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Russian Journal of Forensic Medicine</journal-id><journal-title-group><journal-title xml:lang="en">Russian Journal of Forensic Medicine</journal-title><trans-title-group xml:lang="ru"><trans-title>Судебная медицина</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2411-8729</issn><issn publication-format="electronic">2409-4161</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">406</article-id><article-id pub-id-type="doi">10.17816/fm406</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Original study articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Оригинальные исследования</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="zh"><subject>原创研究</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">New computer technologies to determine postmortem interval by the Henssge method</article-title><trans-title-group xml:lang="ru"><trans-title>Новые компьютерные технологии определения давности наступления смерти по методу Henssge</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7380-3766</contrib-id><contrib-id contrib-id-type="scopus">25947646500</contrib-id><contrib-id contrib-id-type="researcherid">ABH-5590-2020</contrib-id><contrib-id contrib-id-type="spin">3828-8091</contrib-id><name-alternatives><name xml:lang="en"><surname>Nedugov</surname><given-names>German V.</given-names></name><name xml:lang="ru"><surname>Недугов</surname><given-names>Герман Владимирович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Cand. Sci. (Med.), Assistant Professor</p></bio><bio xml:lang="ru"><p>к.м.н., доцент кафедры судебной медицины</p></bio><email>nedugovh@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Samara State Medical University</institution></aff><aff><institution xml:lang="ru">Самарский государственный медицинский университет</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2021-09-02" publication-format="electronic"><day>02</day><month>09</month><year>2021</year></pub-date><pub-date date-type="pub" iso-8601-date="2021-10-08" publication-format="electronic"><day>08</day><month>10</month><year>2021</year></pub-date><volume>7</volume><issue>3</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>152</fpage><lpage>158</lpage><history><date date-type="received" iso-8601-date="2021-06-16"><day>16</day><month>06</month><year>2021</year></date><date date-type="accepted" iso-8601-date="2021-08-13"><day>13</day><month>08</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Nedugov G.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Недугов Г.В.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Nedugov G.V.</copyright-holder><copyright-holder xml:lang="ru">Недугов Г.В.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://for-medex.ru/jour/article/view/406">https://for-medex.ru/jour/article/view/406</self-uri><abstract xml:lang="en"><p><bold>Background:</bold> The Henssge method is still the main thermometric method to determine postmortem interval. However, its existing software implementations are characterized by several disadvantages associated with copying simplified nomographic variants of the original mathematical models without any optimization attempts, as well as procedural imperfection in finding the roots of implicit functions. In this paper, methods are proposed for optimizing solutions to the Henssge mathematical models and determine their errors, as well as software application implementation. <bold>Aim:</bold> Optimization of the Henssge algorithm and development of a series of applications based on the obtained data, designed to determine postmortem interval. <bold>Material and methods:</bold> Methods for solving double exponential Henssge models and determining their errors based on computational mathematics and regression modeling using the least-squares method with subsequent implementation in the format of computer programs in C# language optimized. <bold>Results:</bold> The discrete nature of residual variance changes of the double exponential Henssge models intended to determine the postmortem interval according to rectal and cranioencephalic thermometry data under constant external temperature conditions is eliminated. The interval estimate determination of postmortem interval at any confidence probability is possible. The application program Warm Bodies HR was developed, which implements applied optimization methods. The application program Warm Bodies AHBG, designed to determine postmortem interval by the Henssge method in a single discrete decrease or increase conditions in the constant temperature of the external environment, including a change in the cooling conditions of the corpse, was developed. The search for the roots of implicit functions in programs is carried out using the Newton tangent method, which ensures continuous source data nature and eliminates errors associated with the need to round directly measured physical quantities. <bold>Conclusions:</bold> The developed programs are recommended for forensic medical expert practice to determine postmortem interval.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Актуальность.</bold> Метод Henssge по-прежнему является основным термометрическим методом определения давности наступления смерти. Однако его программные реализации характеризуются рядом недостатков, связанных с копированием без каких-либо попыток оптимизации упрощённых номографических вариантов исходных математических моделей, а также несовершенством процедуры поиска корней неявных функций. В настоящей статье предложены методы оптимизации решений математических моделей Henssge и определения их погрешностей, а также реализующие их программные приложения. <bold>Цель исследования</bold> — оптимизация алгоритма Henssge и разработка на основе полученных данных серии приложений, предназначенных для определения давности наступления смерти. <bold>Материал и методы.</bold> Оптимизированы способы решения двойных экспоненциальных моделей Henssge и определения их погрешностей на основе вычислительной математики и регрессионного моделирования методом наименьших квадратов с последующей реализацией в формате компьютерной программы на языке C#. <bold>Результаты.</bold> Устранён дискретный характер изменений остаточных дисперсий двойных экспоненциальных моделей Henssge, предназначенных для определения посмертного интервала по данным ректальной и краниоэнцефальной термометрии в условиях постоянства внешней температуры. Достигнута возможность определения интервальных оценок давности наступления смерти при любой доверительной вероятности. Разработаны прикладные программы Warm Bodies HR и Warm Bodies AHBG, предназначенные соответственно для реализации применённых методов оптимизации и определения давности наступления смерти методом Henssge в условиях однократного дискретного понижения или повышения постоянной температуры внешней среды, в том числе с изменением условий охлаждения трупа. Поиск корней неявных функций в программах осуществлён по методу касательных Ньютона, благодаря чему обеспечен континуальный характер исходных данных и устранены погрешности, связанные с необходимостью округления прямо измеряемых физических величин. <bold>Заключение.</bold> Разработанные программы рекомендуется использовать в судебно-медицинской экспертной практике для определения давности наступления смерти.</p></trans-abstract><kwd-group xml:lang="en"><kwd>postmortem interval</kwd><kwd>corpse cooling</kwd><kwd>double exponential model</kwd><kwd>computer program</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>давность наступления смерти</kwd><kwd>охлаждение трупа</kwd><kwd>двойная экспоненциальная модель</kwd><kwd>компьютерная программа</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Cappelletti S, Bottoni E, Fiore PA, et al. 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