Laser doppler spectrum decomposition applied in diagnostics of microcirculatory disturbances


Laser Doppler flowmetry (LDF) is widely used to study blood microcirculation in the skin. However, during tradition signal processing based on the integral estimations of the power spectrum of detector photocurrent, the significant part of the information about the skin blood ow is lost. In this study, we propose to analyse the distribution of the blood perfusion over the Doppler shift frequencies, which correlate with the RBC velocity. This approach provides localisation of the blood ow oscillations in different subranges of the Doppler shift. The method applied together with the wavelet analysis has been tested in healthy volunteers and patients with psoriasis on the unaffected surface of the skin. It was revealed, that the significant difference in the amplitude of myogenic oscillations is allocated in the region of the low frequency Doppler shift (1-200 Hz). This frequency region can be associated with the signal from slow components of the skin microcirculation, that can point out on a different state of the lymphatic system of the skin in psoriasis.

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Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: Copyright 2018 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Event Title: Biophotonics: Photonic Solutions for Better Health Care
Event Type: Other
Event Location: Strasbourg, France
Event Dates: 2018-04-22 - 2018-04-26
Last Modified: 20 May 2024 07:48
Date Deposited: 29 May 2018 10:35
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Related URLs: https://www.spi ... 12.2289551.full (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-05-17
Accepted Date: 2018-04-22
Authors: Zherebtsov, Evgeny A. (ORCID Profile 0000-0002-3635-1430)
Dremin, Victor V.
Zharkikh, Elena V.
Dunaev, Andrey V.
Kozlov, Igor O.
Rafailov, Edik U. (ORCID Profile 0000-0002-4152-0120)
Zherebtsova, Angelina I.
Tuchin, Valery V.



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