Paper
3 June 2019 Phase synchronization of human cardiovascular oscillations using photoplethysmography and laser Doppler flowmetry data
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Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 110670I (2019) https://doi.org/10.1117/12.2522596
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arina V. Tankanag, Andrey A. Grinevich, Irina V. Tikhonova, and Nikolay K. Chemeris "Phase synchronization of human cardiovascular oscillations using photoplethysmography and laser Doppler flowmetry data", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670I (3 June 2019); https://doi.org/10.1117/12.2522596
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Cited by 2 scholarly publications.
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KEYWORDS
Blood circulation

Cardiovascular system

Photoplethysmography

Wavelets

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