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Proceedings Paper

Blood flow oscillations as a signature of microvascular abnormalities
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Paper 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.

Paper Details

Date Published: 17 May 2018
PDF: 5 pages
Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 106854C (17 May 2018); doi: 10.1117/12.2307476
Show Author Affiliations
Elena V. Zharkikh, Orel State Univ. named after I.S. Turgenev (Russian Federation)
Irina A. Mizeva, Institute of Continuous Media Mechanics (Russian Federation)
Irina I. Makovik, Orel State Univ. named after I.S. Turgenev (Russian Federation)
Viktor V. Dremin, Orel State Univ. named after I.S. Turgenev (Russian Federation)
Evgeny A. Zherebtsov, Aston Univ. (United Kingdom)
Elena V. Potapova, Orel State Univ. named after I.S. Turgenev (Russian Federation)
Andrey V. Dunaev, Orel State Univ. named after I.S. Turgenev (Russian Federation)


Published in SPIE Proceedings Vol. 10685:
Biophotonics: Photonic Solutions for Better Health Care VI
Jürgen Popp; Valery V. Tuchin; Francesco Saverio Pavone, Editor(s)

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