https://doi.org/10.1140/epjs/s11734-025-02046-4
Regular Article
Recovering the parameters of mathematical model of autonomic blood pressure control from experimental data
1
Saratov State University, Astrakhanskaya Str. 83, 410012, Saratov, Russia
2
Saratov Branch of Kotelnikov Institute of RadioEngineering and Electronics of Russian Academy of Sciences, Zelyonaya 38, 410019, Saratov, Russia
3
Institute of Biomedical Problems, Russian Academy of Sciences, Khoroshevskoye Shosse 76A, 123007, Moscow, Russia
4
Lomonosov Moscow State University, Leninskie Gory 1, 119991, Moscow, Russia
a
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Received:
2
September
2025
Accepted:
23
October
2025
Published online:
5
November
2025
Abstract
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.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjs/s11734-025-02046-4.
Copyright comment Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
A. S. Borovik, O. S. Tarasova, A. M. Vakhlaeva, B. P. Bezruchko, E. I. Borovkova, A. S. Karavaev, and M. D. Prokhorov contributed equally to this work.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
