Blood flow oscillations as a signature of microvascular abnormalities


Laser Doppler flowmetry (LDF) was utilized for blood ow measurements. Wavelet analysis was used to identify spectral characteristics of the LDF signal in patients with rheumatic diseases and diabetes mellitus. Baseline measurements were applied for both pathological groups. Blood flow oscillations analyses were performed by means of the wavelet transform. Higher baseline perfusion was observed in both pathological groups in comparison to controls. Differences in the spectral properties between the groups studied were revealed. The results obtained demonstrated that spectral properties of the LDF signal collected in basal conditions may be the signature of microvasculature functional state.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Funding Information: This work was supported by the Russian foundation for basic research RFBR 17-41-590560. Evgeny Zherebtsov kindly acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement
Additional Information: © 2018 SPIE. doi: Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854C (2018)
Event Title: Biophotonics: Photonic Solutions for Better Health Care VI 2018
Event Type: Other
Event Dates: 2018-04-23 - 2018-04-26
Uncontrolled Keywords: blood microcirculation,diabetes,Laser Doppler flowmetry,rheumatic disease,vasomotions,wavelets,Electronic, Optical and Magnetic Materials,Condensed Matter Physics,Computer Science Applications,Applied Mathematics,Electrical and Electronic Engineering
ISBN: 9781510618961
Last Modified: 11 Mar 2024 08:08
Date Deposited: 16 Jul 2018 12:49
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.spi ... 7476.full?SSO=1 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-06-21
Accepted Date: 2018-01-31
Authors: Zharkikh, Elena V.
Mizeva, Irina A.
Makovik, Irina I.
Dremin, Viktor V.
Zherebtsov, Evgeny A. (ORCID Profile 0000-0002-3635-1430)
Potapova, Elena V.
Dunaev, Andrey V.



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