2019
DOI: 10.1016/j.mvr.2019.103889
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A new approach to the analysis of skin blood flow oscillations in human

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Cited by 14 publications
(10 citation statements)
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References 47 publications
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“…sample rate, length and prefiltering) may differ, and the methods can be sensitive to such variations in the parameters. Furthermore, recent work suggests that the frequency bands are not fixed and may vary, for example, with age or pathological state (Grinevich, Tankanag, Tikhonova, & Chemeris, ). Nevertheless, such frequency‐domain analysis is a valuable tool in understanding the processes modulating BF and their relative contribution to overall flow.…”
Section: Analysis In the Frequency Domainmentioning
confidence: 99%
“…sample rate, length and prefiltering) may differ, and the methods can be sensitive to such variations in the parameters. Furthermore, recent work suggests that the frequency bands are not fixed and may vary, for example, with age or pathological state (Grinevich, Tankanag, Tikhonova, & Chemeris, ). Nevertheless, such frequency‐domain analysis is a valuable tool in understanding the processes modulating BF and their relative contribution to overall flow.…”
Section: Analysis In the Frequency Domainmentioning
confidence: 99%
“…Analysis of literature showed that internal couplings were not earlier investigated, while external couplings were fragmentarily investigated in healthy volunteers, and they remain unstudied in type 2 DM patients. We have assessed for the first time the internal couplings characterizing the interaction between regulatory processes occurring in one part of microcirculatory bed in a small tissue volume [ 91 ]. Overlapping areas of adjacent frequencies with medium and strong internal couplings were found that characterized the interactions between regulatory mechanisms of skin blood flow: the central ones (respiratory and cardiac) and local (endothelial, neurogenic and myogenic).…”
Section: External and Internal Couplings Between The Regulatory Syste...mentioning
confidence: 99%
“…Using Matlab 2016 (MathWorks Inc., Natick, MA, USA), the signal noise was filtered and the SBF perfusion was calculated. Similar to previous studies [34][35][36][37][38], a Morlet wavelet transform was used to determine BFO. Five characteristic frequencies in the frequency interval between 0.0095 and 2 Hz were identified.…”
Section: Blood Flow Perfusion and Oscillation Analysismentioning
confidence: 99%
“…Furthermore, blood flow oscillation (BFO) reflects the current functional state of blood flow regulation systems. BFO analysis shows that characteristic frequencies reflect endothelial activity (0.008-0.02 Hz), sympathetic neurogenic activity (0.02-0.06 Hz), myogenic activity (0.06-0.2 Hz), respiratory activity (0.2-0.6 Hz), and cardiac activity (0.6-2.3 Hz) [34][35][36][37][38][39].…”
Section: Introductionmentioning
confidence: 99%