Kozlov Igor, Zherebtsov Evgeny, Masalygina Galina, Podmasteryev Konstantin, Dunaev Andrey
Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia.
Optoelectronics and Measurement Techniques Unit, University of Oulu, 90570 Oulu, Finland.
Diagnostics (Basel). 2021 Feb 9;11(2):267. doi: 10.3390/diagnostics11020267.
In this article, we introduce a new method of signal processing and data analysis for the digital laser Doppler flowmetry. Our approach is based on the calculation of cumulative sums over the registered Doppler power spectra. The introduced new parameter represents an integral estimation for the redistribution of moving red blood cells over the range of speed. The prototype of the device implementing the technique is developed and tested in preliminary clinical trials. The methodology was verified with the involvement of two age groups of healthy volunteers and in a group of patients with type 2 diabetes mellitus. The main practical result of the study is the development of a set of binary linear classifiers that allow the method to identify typical patterns of the microcirculation for the healthy volunteers and diabetic patients based on the presented diagnostic algorithm.
在本文中，我们介绍了一种用于数字激光多普勒血流仪的信号处理和数据分析新方法。我们的方法基于对记录的多普勒功率谱进行累积求和计算。引入的新参数代表了对运动红细胞在速度范围内重新分布的积分估计。实施该技术的设备原型已开发出来并在初步临床试验中进行了测试。该方法在两组健康志愿者和一组2型糖尿病患者中得到了验证。该研究的主要实际成果是开发了一组二元线性分类器，使该方法能够根据所提出的诊断算法识别健康志愿者和糖尿病患者的典型微循环模式。
