Laser Doppler flowmetry based on spectrum decomposition for the diagnosis of skin vascular complications
Igor O. Kozlov,1 Andrey V. Dunaev, 1 Konstantin V. Podmasteryev, Evgeny A. Zherebtsov
1 R&D Center of Biomedical Photonics, Orel State University, Orel, Oryol Oblast, Russia
Abstract
Clinical functional diagnosis of blood microcirculation can be performed using non-invasive optical methods. Laser Doppler flowmetry is one of these methods used in many branches of medicine, including endocrinology, dentistry, and dermatology.
In this techique, blood perfusion is measured in the diagnostic volume in relation to the rate of blood flow and the concentration of red blood cells. In most modern LDF devices, however, useful information regarding Doppler frequency broadening cannot be accessed and used to solve diagnostic problems.
This work proposes a device and method for laser Doppler flowmetry that enhances the feature space based on the signal distribution by Doppler broadening. A technical solution implementing this approach is presented, along with its main characteristics and signal processing algorithms. Based on mean cumulative sums, we propose a method for estimating changes in the RBC velocity distribution. To obtain the distribution of blood perfusion oscillations by Doppler broadening frequencies, wavelet spectra are analyzed over sequences of narrow frequency bands. It is demonstrated that the implemented technique for establishing diagnostic criteria have advantages. Using reported approaches, a novel diagnostic system for diagnosing microcirculation disorders in patients with diabetes type 2 has been developed.
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Igor O. Kozlov
Orel State University named after I.S. Turgenev
Russia
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