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Phase synchronization of human cardiovascular oscillations using photoplethysmography and laser Doppler flowmetry data
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Paper Abstract

Phase synchronization between breath rate, heart rate variability, blood flow and blood volume oscillations were studied from healthy volunteers at rest. The degree of synchronization between the phases of the analyzed signals was estimated from the value of the wavelet phase coherence. High phase synchronization between blood perfusion and blood volume oscillations in a wide frequency range from 0.0095 to 0.1 Hz and at the frequency of heart rate (~ 1 Hz) was obtained. Significant phase synchronization were demonstrated between heart rate variability both skin blood flow oscillations and blood volume ones at the frequency of endothelial (~ 0.01 Hz) and myogenic (~ 0.1 Hz) activities. It was revealed high phase synchronization at the respiratory frequency (~ 0.3 Hz) for blood volume oscillations and low synchronization for blood flow ones. Also there are differences of phase synchronization of blood volume and blood flow oscillations with respiratory rate at the breath frequency. It was obtained high phase synchronization at this frequency for blood volume oscillations and low synchronization for oscillations of skin microvasculature. We assume that the results obtained can form the basis of new diagnostic criteria for assessing the state of the cardiovascular system in pathologies.

Paper Details

Date Published: 3 June 2019
PDF: 5 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670I (3 June 2019); doi: 10.1117/12.2522596
Show Author Affiliations
Arina V. Tankanag, Institute of Cell Biophysics (Russian Federation)
Andrey A. Grinevich, Institute of Cell Biophysics (Russian Federation)
Irina V. Tikhonova, Institute of Cell Biophysics (Russian Federation)
Nikolay K. Chemeris, Institute of Cell Biophysics (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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