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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Recovering the parameters of mathematical model of autonomic blood pressure control from experimental dataстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 23 января 2026 г.
- Авторы: Ishbulatov Yu M., Borovik A.S., Tarasova O.S., Vakhlaeva A.M., Bezruchko B.P., Borovkova E.I., Karavaev A.S., Prokhorov M.D.
- Журнал: European Physical Journal: Special Topics
- Год издания: 2025
- Издательство: EDP Sciences
- Местоположение издательства: France
- DOI: 10.1140/epjs/s11734-025-02046-4
- Аннотация: Physics-driven mathematical models of biological systems are based on the current understanding of the physiology of the system and model parameters represent the real-life physiological parameters. Physics-driven model can be fitted to experimental data and its parameters provide indirect estimation of the real physiological parameters, which are commonly inaccessible. This study proposes an algorithm, designed to fit the model of autonomic control of mean arterial pressure to the experimental continuous arterial blood pressure signals recorded noninvasively using Finometer device. The method was tested on the data recorded from young healthy volunteers during head-up tilt test. The model was fitted twice to each volunteer, in horizontal and vertical positions, which resulted in two sets of the reconstructed parameters. In most volunteers, the changes in the parameter values reflected the expected and well-known changes in the dynamics of the autonomic control of the mean arterial pressure, associated with the passive head-up tilt. The results are important for personalized medicine and digital twinning of the cardiovascular system.
- Добавил в систему: Тарасова Ольга Сергеевна
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