Synchronization and coherence of the low-frequency components of the signals of the cardiovascular system in newborns

Viktoriia V. Skazkina; Yulia V. Popova; Elena N. Mureeva; Anton R. Kiselev; Yurii M. Ishbulatov; Olga S. Panina; Vladimir S. Khorev; Tatyana A. Galushko; Yuri V. Chernenkov; Anatoly S. Karavaev

doi:10.1117/12.2564397

9 April 2020 Synchronization and coherence of the low-frequency components of the signals of the cardiovascular system in newborns

Viktoriia V. Skazkina, Yulia V. Popova, Elena N. Mureeva, Anton R. Kiselev, Yurii M. Ishbulatov, Olga S. Panina, Vladimir S. Khorev, Tatyana A. Galushko, Yuri V. Chernenkov, Anatoly S. Karavaev

Author Affiliations +

Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590M (2020) https://doi.org/10.1117/12.2564397
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

In this work, we analyzed the signals of heart rate variability and leg’s photoplethysmograms of newborns. A series o f experiments included 10 conditionally healthy subjects; each recording was carried out for 15 minutes during feeding. We used methods of spectral analysis and methods of nonlinear dynamics. This work shows some features of the autonomic nervous regulation of the cardiovascular system in newborns, an assessment of the degree of synchronization and the coupling of the loops for regulating heart rate variability and vascular tone using methods for calculating crossspectrum, the coherence coefficient and the total percentage of phase synchronization.

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Viktoriia V. Skazkina, Yulia V. Popova, Elena N. Mureeva, Anton R. Kiselev, Yurii M. Ishbulatov, Olga S. Panina, Vladimir S. Khorev, Tatyana A. Galushko, Yuri V. Chernenkov, and Anatoly S. Karavaev "Synchronization and coherence of the low-frequency components of the signals of the cardiovascular system in newborns", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590M (9 April 2020); https://doi.org/10.1117/12.2564397

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