Analysis on the Cyclical Fluctuations of the Blood Flow in the Microcirculation

Y. Mao, Jianmei Xu, L. Bai, Jiantao Niu, Jiwen Yang, Xiaoyan Tan
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Abstract

In order to analyze the relationship between time series of the blood flow that has been measured in a small area of tissue and patterns of the blood flow fluctuations in the capillary unit, the autocorrelation coefficient model was established to characterize the continuity of blood flow based on the theory of autocorrelation coefficient. And it's proved that if we take blood flow of a local tissue as a clustered sequences, which are made up of a number of capillary units with the same pseudo cycle and different phases, the sequence of microcirculation blood flow and the capillary unit have the same cycle fluctuations. Measured the blood flow of the human biceps in resting, denoised the signals through wavelet tranform, and derived the spectrum and pseudo cycle by Matlab. The character of blood flow fluctuations in a capillary unit can thus be estimated, which provided an effective way to find out character of the blood flow in the capillary unit.
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微循环中血流周期波动的分析
为了分析小面积组织内测量到的血流时间序列与毛细血管单元内血流波动模式之间的关系,基于自相关系数理论,建立了表征血流连续性的自相关系数模型。并且证明了如果我们将局部组织的血流作为一个簇状序列,这个簇状序列是由许多具有相同伪周期和不同阶段的毛细血管单元组成的,那么微循环血流序列和毛细血管单元具有相同的周期波动。测量人体静息状态下肱二头肌的血流,对信号进行小波变换去噪,并利用Matlab推导出频谱和伪周期。由此可以估计出毛细管单元内血流波动的特性,为了解毛细管单元内血流特性提供了一种有效的方法。
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