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/Report/Conference proceedingConference contribution

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
CountryFrance
CityStrasbourg
Period23/04/1826/04/18

Fingerprint

abnormalities
blood flow
Blood Flow
Doppler
Blood
Signature
signatures
Oscillation
Laser
Spectral Properties
wavelet analysis
oscillations
Lasers
Baseline
rheumatic diseases
diabetes mellitus
lasers
Diabetes Mellitus
Wavelet analysis
Wavelet Analysis

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

Cite this

Zharkikh, E. V., Mizeva, I. A., Makovik, I. I., Dremin, V. V., Zherebtsov, E. A., Potapova, E. V., & Dunaev, A. V. (2018). Blood flow oscillations as a signature of microvascular abnormalities. In Biophotonics: Photonic Solutions for Better Health Care VI (Vol. 10685). [106854C] SPIE. https://doi.org/10.1117/12.2307476
Zharkikh, Elena V. ; Mizeva, Irina A. ; Makovik, Irina I. ; Dremin, Viktor V. ; Zherebtsov, Evgeny A. ; Potapova, Elena V. ; Dunaev, Andrey V. / Blood flow oscillations as a signature of microvascular abnormalities. Biophotonics: Photonic Solutions for Better Health Care VI. Vol. 10685 SPIE, 2018.
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Zharkikh, EV, Mizeva, IA, Makovik, II, Dremin, VV, Zherebtsov, EA, Potapova, EV & Dunaev, AV 2018, Blood flow oscillations as a signature of microvascular abnormalities. in Biophotonics: Photonic Solutions for Better Health Care VI. vol. 10685, 106854C, SPIE, Biophotonics: Photonic Solutions for Better Health Care VI 2018, Strasbourg, France, 23/04/18. https://doi.org/10.1117/12.2307476

Blood flow oscillations as a signature of microvascular abnormalities. / Zharkikh, Elena V.; Mizeva, Irina A.; Makovik, Irina I.; Dremin, Viktor V.; Zherebtsov, Evgeny A.; Potapova, Elena V.; Dunaev, Andrey V.

Biophotonics: Photonic Solutions for Better Health Care VI. Vol. 10685 SPIE, 2018. 106854C.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Mizeva, Irina A.

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AU - Potapova, Elena V.

AU - Dunaev, Andrey V.

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Zharkikh EV, Mizeva IA, Makovik II, Dremin VV, Zherebtsov EA, Potapova EV et al. Blood flow oscillations as a signature of microvascular abnormalities. In Biophotonics: Photonic Solutions for Better Health Care VI. Vol. 10685. SPIE. 2018. 106854C https://doi.org/10.1117/12.2307476