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

doi:10.1117/12.2307476

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 output › Conference publication

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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 language	English
Title of host publication	Biophotonics
Subtitle of host publication	Photonic Solutions for Better Health Care VI
Publisher	Society of Photo-Optical Instrumentation Engineers (SPIE)
Volume	10685
ISBN (Electronic)	9781510618961
DOIs	https://doi.org/10.1117/12.2307476
Publication status	Published - 21 Jun 2018
Event	Biophotonics: Photonic Solutions for Better Health Care VI 2018 - Strasbourg, France Duration: 23 Apr 2018 → 26 Apr 2018

Conference

Conference	Biophotonics: Photonic Solutions for Better Health Care VI 2018
Country/Territory	France
City	Strasbourg
Period	23/04/18 → 26/04/18

Bibliographical note

Funding

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 No. 703145. Special thanks are extended to doctors Khakhicheva L.S., Alimicheva E.A., Masalygina G.I., and Muradyan V.F. of the Orel Regional Clinical Hospital for providing useful advice and help.

Keywords

blood microcirculation
diabetes
Laser Doppler flowmetry
rheumatic disease
vasomotions
wavelets

Access to Document

10.1117/12.2307476

Blood flow oscillations as a signature of microvascular abnormalities
© 2018 SPIE. doi: Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854C (2018) https://doi.org/10.1117/12.2307476
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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). Article 106854C Society of Photo-Optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2307476

@inproceedings{b08cdb53b16a4402a4404098753bf88c,

title = "Blood flow oscillations as a signature of microvascular abnormalities",

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.",

keywords = "blood microcirculation, diabetes, Laser Doppler flowmetry, rheumatic disease, vasomotions, wavelets",

author = "Zharkikh, {Elena V.} and Mizeva, {Irina A.} and Makovik, {Irina I.} and Dremin, {Viktor V.} and Zherebtsov, {Evgeny A.} and Potapova, {Elena V.} and Dunaev, {Andrey V.}",

note = "{\textcopyright} 2018 SPIE. doi: Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854C (2018) https://doi.org/10.1117/12.2307476; Biophotonics: Photonic Solutions for Better Health Care VI 2018 ; Conference date: 23-04-2018 Through 26-04-2018",

year = "2018",

month = jun,

day = "21",

doi = "10.1117/12.2307476",

language = "English",

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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, Society of Photo-Optical Instrumentation Engineers (SPIE), Biophotonics: Photonic Solutions for Better Health Care VI 2018, Strasbourg, France, 23/04/18. https://doi.org/10.1117/12.2307476

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T1 - Blood flow oscillations as a signature of microvascular abnormalities

AU - Zharkikh, Elena V.

AU - Mizeva, Irina A.

AU - Makovik, Irina I.

AU - Dremin, Viktor V.

AU - Zherebtsov, Evgeny A.

AU - Potapova, Elena V.

AU - Dunaev, Andrey V.

PY - 2018/6/21

Y1 - 2018/6/21

N2 - 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.

AB - 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.

KW - blood microcirculation

KW - diabetes

KW - Laser Doppler flowmetry

KW - rheumatic disease

KW - vasomotions

KW - wavelets

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DO - 10.1117/12.2307476

M3 - Conference publication

AN - SCOPUS:85049199432

VL - 10685

BT - Biophotonics

PB - Society of Photo-Optical Instrumentation Engineers (SPIE)

T2 - Biophotonics: Photonic Solutions for Better Health Care VI 2018

Y2 - 23 April 2018 through 26 April 2018

ER -

Blood flow oscillations as a signature of microvascular abnormalities

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Keywords

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