Application of cross-recurrent analysis to coupling detection in mathematical model of circulation autonomic control

Yurii M. Ishbulatov; Olga M. Posnenkova; Ekaterina I. Borovkova; Yulia V. Popova; Danil D. Kulminsky; Elena V. Navrotskaya; Vladimir S. Khorev; Victoriya V. Kudryashova; Anton R. Kiselev; Anatoly S. Karavaev

doi:10.1117/12.2564378

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9 April 2020 Application of cross-recurrent analysis to coupling detection in mathematical model of circulation autonomic control

Yurii M. Ishbulatov, Olga M. Posnenkova, Ekaterina I. Borovkova, Yulia V. Popova, Danil D. Kulminsky, Elena V. Navrotskaya, Vladimir S. Khorev, Victoriya V. Kudryashova, Anton R. Kiselev, Anatoly S. Karavaev

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Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590T (2020) https://doi.org/10.1117/12.2564378
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

Study aims to adopt the cross-recurrence analysis for detection of coupling between the loops of sympathetic regulation of cardiovascular system. To test the applicability of the method and to set its parameters it was applied to the mathematical model of cardiovascular system that has a structure similar to the structure of the real system. To investigate whether the cross-recurrence analysis reflects the dynamics of autonomic control the authors conducted four numerical experiments with gradually decreasing activity of sympathetic regulation. No correlation was found between the results of cross-recurrence analysis and the coupling strengths.

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Yurii M. Ishbulatov, Olga M. Posnenkova, Ekaterina I. Borovkova, Yulia V. Popova, Danil D. Kulminsky, Elena V. Navrotskaya, Vladimir S. Khorev, Victoriya V. Kudryashova, Anton R. Kiselev, and Anatoly S. Karavaev "Application of cross-recurrent analysis to coupling detection in mathematical model of circulation autonomic control", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590T (9 April 2020); https://doi.org/10.1117/12.2564378

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