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IEEE Transactions on Biomedical Engineering, volume 70, issue 1, pages 3-14

Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition

Publication typeJournal Article
Publication date2023-01-01
Quartile SCImago
Q1
Quartile WOS
Q2
Impact factor4.6
ISSN00189294, 15582531
Biomedical Engineering
Abstract
Nowadays, photonics-based techniques are used extensively in various applications, including functional clinical diagnosis, progress monitoring in treatment, and provision of metrological control. In fact, in the frame of practical implementation of optical methods, such as laser Doppler flowmetry (LDF), the qualitative interpretation and quantitative assessment of the detected signal remains vital and urgently required. In the conventional LDF approach, the key measured parameters, index of microcirculation and perfusion rate, are proportional to an averaged concentration of red blood cells (RBC) and their average velocity within a diagnostic volume. These quantities compose mixed signals from different vascular beds with a range of blood flow velocities and are typically expressed in relative units. In the current paper we introduce a new signal processing approach for the decomposition of LDF power spectra in terms of ranging blood flow distribution by frequency series. The developed approach was validated in standard occlusion tests conducted on healthy volunteers, and applied to investigate the influence of local pressure rendered by a probe on the surface of the skin. Finally, in limited clinical trials, we demonstrate that the approach can significantly improve the diagnostic accuracy of detection of microvascular changes in the skin of the feet in patients with Diabetes Mellitus type 2, as well as age-specific changes. The results obtained show that the developed approach of LDF signal decomposition provides essential new information about blood flow and blood microcirculation and has great potential in the diagnosis of vascular complications associated with various diseases.

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Zherebtsov E. A. et al. Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition // IEEE Transactions on Biomedical Engineering. 2023. Vol. 70. No. 1. pp. 3-14.
GOST all authors (up to 50) Copy
Zherebtsov E. A., Kozlov I., Dremin V., Bykov A. V., Dunaev A. V., Meglinski I. Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition // IEEE Transactions on Biomedical Engineering. 2023. Vol. 70. No. 1. pp. 3-14.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1109/TBME.2022.3181126
UR - https://doi.org/10.1109%2FTBME.2022.3181126
TI - Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition
T2 - IEEE Transactions on Biomedical Engineering
AU - Zherebtsov, Evgeny A.
AU - Kozlov, Igor
AU - Dremin, Viktor
AU - Bykov, Alexander V.
AU - Dunaev, Andrey V.
AU - Meglinski, Igor
PY - 2023
DA - 2023/01/01 00:00:00
PB - IEEE
SP - 3-14
IS - 1
VL - 70
SN - 0018-9294
SN - 1558-2531
ER -
BibTex |
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BibTex Copy
@article{2023_Zherebtsov,
author = {Evgeny A. Zherebtsov and Igor Kozlov and Viktor Dremin and Alexander V. Bykov and Andrey V. Dunaev and Igor Meglinski},
title = {Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition},
journal = {IEEE Transactions on Biomedical Engineering},
year = {2023},
volume = {70},
publisher = {IEEE},
month = {jan},
url = {https://doi.org/10.1109%2FTBME.2022.3181126},
number = {1},
pages = {3--14},
doi = {10.1109/TBME.2022.3181126}
}
MLA
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MLA Copy
Zherebtsov, Evgeny A., et al. “Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition.” IEEE Transactions on Biomedical Engineering, vol. 70, no. 1, Jan. 2023, pp. 3-14. https://doi.org/10.1109%2FTBME.2022.3181126.
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