Laser Doppler Fluximetry in Cutaneous Vasculature: Methods for Data Analyses

被引:2
作者
Huang, Sophie J. Y. [1 ,2 ]
Wang, Xuan [3 ]
Halvorson, Brayden D. [3 ]
Bao, Yuki [4 ]
Frisbee, Stephanie J. [5 ,6 ,7 ]
Frisbee, Jefferson C. [3 ]
Goldman, Daniel [3 ,4 ]
机构
[1] Univ Western Ontario, Schulich Sch Med & Dent, Dept Physiol, London, ON, Canada
[2] Univ Western Ontario, Schulich Sch Med & Dent, Dept Pharmacol, London, ON, Canada
[3] Univ Western Ontario, Schulich Sch Med & Dent, Med Biophys, London, ON, Canada
[4] Univ Western Ontario, Schulich Sch Med & Dent, Biomed Engn, London, ON, Canada
[5] Univ Western Ontario, Schulich Sch Med & Dent, Pathol & Lab Med, London, ON, Canada
[6] Univ Western Ontario, Schulich Sch Med & Dent, Epidemiol & Biostat, London, ON, Canada
[7] Lawson Hlth Res Inst, London, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Perfusion imaging; Data analytics; Microcirculation; Computational analyses; Blood flow regulation; LEMPEL-ZIV COMPLEXITY; MICROVASCULAR ENDOTHELIAL FUNCTION; BLOOD-FLOW; HUMAN-SKIN; FLOWMETRY SIGNALS; SPECTRAL-ANALYSIS; WAVELET ANALYSIS; MICROCIRCULATION; PERFUSION; ENTROPY;
D O I
10.1159/000538718
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Introduction: Acquisition of a deeper understanding of microvascular function across physiological and pathological conditions can be complicated by poor accessibility of the vascular networks and the necessary sophistication or intrusiveness of the equipment needed to acquire meaningful data. Laser Doppler fluximetry (LDF) provides a mechanism wherein investigators can readily acquire large amounts of data with minor inconvenience for the subject. However, beyond fairly basic analyses of erythrocyte perfusion (fluximetry) data within the cutaneous microcirculation (i.e., perfusion at rest and following imposed challenges), a deeper understanding of microvascular perfusion requires a more sophisticated approach that can be challenging for many investigators. Methods: This manuscript provides investigators with clear guidance for data acquisition from human subjects for full analysis of fluximetry data, including levels of perfusion, single- and multiscale Lempel-Ziv complexity (LZC) and sample entropy (SampEn), and wavelet-based analyses for the major physiological components of the signal. Representative data and responses are presented from a recruited cohort of healthy volunteers, and computer codes for full data analysis (MATLAB) are provided to facilitate efforts by interested investigators. Conclusion: It is anticipated that these materials can reduce the challenge to investigators integrating these approaches into their research programs and facilitate translational research in cardiovascular science. (c) 2024 S. Karger AG, Basel
引用
收藏
页码:197 / 211
页数:15
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