Irina N. Makovik, Viktor V. Dremin, Angelina I. Zherebtsova, Alexander I. Krupatkin, Lyudmila S. Khakhicheva, Vadim F. Muradyan, Igor V. Meglinski, and Andrey V. Dunaev "Evaluation of microvascular disturbances in rheumatic diseases by analysis of skin blood flow oscillations", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 106854S (17 May 2018); https://doi.org/10.1117/12.2288239
Evaluation of microvascular disturbances in rheumatic diseases by analysis of skin blood flow oscillations
|Author:||Makovik, Irina N.1; Dremin, Viktor V.1,2; Zherebtsova, Angelina I.1;|
1Research and Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia
2Opto-Electronics and Measurement Techniques, University of Oulu, Oulu, 90014, Finland
3Priorov National Medical Research Center of Traumatology and Orthopaedics, Moscow, 127299, Russia
4Orel Regional Clinical Hospital, Orel, 302028, Russia
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081324025
|Publish Date:|| 2019-08-13
Laser Doppler flowmetry (LDF), tissue reflectance oximetry (TRO) and pulse oximetry (PO) and cold pressor test (CPT) were used to assess the microcirculation parameters and the activation of regulatory mechanisms. LDF and TRO samples wavelet transform in the frequency bands 0.01–2 Hz was used to evaluate microvascular disturbances in rheumatic diseases and to assess the vascular involvement in the pathological process. The spectral components of LDF and TRO signals associated with endothelial, adrenergic, intrinsic smooth muscle, respiratory and cardiac activities were analyzed. Significant difference between healthy and rheumatology subjects was identified in perfusion parameters. Spectral analysis of the LDF signal revealed significant difference between two group of high (<0.1 Hz) frequency pulsations. Based on the analysed of the perfusion and amplitudes oscillation in the frequency band the decision rule for detection microvascular disturbances were synthesized. The perfusion parameter and amplitude oscillation associated with cardiac activities included in the decision rule. Based on the measured parameters and the result of wavelet transform LDF- and TRO-signals the parameters for detection of complications associated with microvascular disturbances and their possible causes were proposed.
Proceedings of SPIE
|Pages:||1 - 7|
Biophotonics: Photonic Solutions for Better Health Care VI 2018
|Host publication editor:||
Tuchin, Valery V.
Saverio Pavone, Francesco
SPIE Photonics Europe
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
217 Medical engineering
The work was supported by the Russian Foundation for basic research (project no. 17-41-590560) and by grant of the President of the Russian Federation for state support of young Russian scientists № MK-3400.2018.8.
© 2018 SPIE. This is the published version of the following article: Irina N. Makovik, Viktor V. Dremin, Angelina I. Zherebtsova, Alexander I. Krupatkin, Lyudmila S. Khakhicheva, Vadim F. Muradyan, Igor V. Meglinski, and Andrey V. Dunaev "Evaluation of microvascular disturbances in rheumatic diseases by analysis of skin blood flow oscillations", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 106854S (17 May 2018); https://doi.org/10.1117/12.2288239, which has been published in final form at https://doi.org/10.1117/12.2288239. This article may be used for non-commercial purposes in accordance with SPIE Terms and Conditions for Self-Archiving.