Abstract
Adaptive wavelet transform techniques for studying of microcirculatory blood flow oscillations are described. It is shown that the suggested methods will be especially claimed in the analysis of low-frequency components of short-lived transient processes under various functional test conditions. In addition, the use of adaptive wavelet transform reduces the essential duration of signal registration, which can be useful in the study of the microhemodynamics in patients with heavy pathologies. Also the method for investigating the phase relationships between microvasculatory oscillations is given which based on estimating the values of wavelet phase coherence function. The proposed method makes it possible to identify frequency intervals with high and low phase correlations of peripheral blood flow oscillations.
Highlights
Известно, что функционирование любого органа во многом определяется адекватным состоянием системы микроциркуляции крови
The use of adaptive wavelet transform reduces the essential duration of signal registration, which can be useful in the study of the microhemodynamics in patients with heavy pathologies
The method for investigating the phase relationships between microvasculatory oscillations is given which based on estimating the values of wavelet phase coherence function
Summary
Что функционирование любого органа во многом определяется адекватным состоянием системы микроциркуляции крови. Также предложен метод исследования фазовых взаимоотношений между колебаниями в системе микроциркуляции на основе оценки значений функции фазовой вейвлет-когерентности, который позволяет выявить частотные интервалы с высокой и низкой фазовой скоррелированностью колебаний скорости микроциркуляторного кровотока. Для количественной оценки характеристик колебаний скорости периферического кровотока ранее использовали спектральный анализ на основе Фурье-преобразования [41].
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