Blood flow oscillations as a signature of microvascular abnormalities

Elena V. Zharkikh, Irina A. Mizeva, Irina I. Makovik, Viktor V. Dremin, Evgeny A. Zherebtsov, Elena V. Potapova, Andrey V. Dunaev

Research output: Chapter in Book/Published conference outputConference publication

Abstract

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.

Original languageEnglish
Title of host publicationBiophotonics
Subtitle of host publicationPhotonic Solutions for Better Health Care VI
PublisherSPIE
Volume10685
ISBN (Electronic)9781510618961
DOIs
Publication statusPublished - 21 Jun 2018
EventBiophotonics: Photonic Solutions for Better Health Care VI 2018 - Strasbourg, France
Duration: 23 Apr 201826 Apr 2018

Conference

ConferenceBiophotonics: Photonic Solutions for Better Health Care VI 2018
Country/TerritoryFrance
CityStrasbourg
Period23/04/1826/04/18

Bibliographical note

© 2018 SPIE. doi: Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854C (2018) https://doi.org/10.1117/12.2307476

Keywords

  • blood microcirculation
  • diabetes
  • Laser Doppler flowmetry
  • rheumatic disease
  • vasomotions
  • wavelets

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