Abstract
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.
Original language | English |
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Article number | 106854S |
Journal | Proceedings of SPIE - International Society for Optical Engineering |
Volume | 10685 |
DOIs | |
Publication status | Published - 17 May 2018 |
Event | Biophotonics: Photonic Solutions for Better Health Care VI 2018 - Strasbourg, France Duration: 23 Apr 2018 → 26 Apr 2018 |
Bibliographical note
Copyright 2018 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.Keywords
- Laser Doppler flowmetry
- microvascular disturbances
- pulse oximetry
- rheumatic diseases
- tissue reflectance oximetry
- wavelet transform