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 |
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Title of host publication | Biophotonics |
Subtitle of host publication | Photonic Solutions for Better Health Care VI |
Publisher | SPIE |
Volume | 10685 |
ISBN (Electronic) | 9781510618961 |
DOIs | |
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 |
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Country/Territory | France |
City | Strasbourg |
Period | 23/04/18 → 26/04/18 |
Bibliographical note
© 2018 SPIE. doi: Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 106854C (2018) https://doi.org/10.1117/12.2307476Keywords
- blood microcirculation
- diabetes
- Laser Doppler flowmetry
- rheumatic disease
- vasomotions
- wavelets