2008
DOI: 10.1088/0031-9155/53/21/005
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Application of the adaptive wavelet transform for analysis of blood flow oscillations in the human skin

Abstract: An original method for the analysis of oscillations of cutaneous blood flow has been developed, which makes use of laser Doppler flowmetry (LDF) data and is based on the continuous wavelet transform and adaptive wavelet theory. The potential of the method has been demonstrated in experiments with the response of microcirculatory bed to the local linearly-increasing heating of a skin spot. The use of adaptive wavelet transform for analysis of peripheral blood flow oscillations enables one to process short (5 mi… Show more

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Cited by 54 publications
(33 citation statements)
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“…Spectral analysis of LDF signals obtained was performed with continuous adaptive wavelet transform 22 To define anesthesia effects on the amplitudes of low frequency components of LDF signals we calculated relative amplitudes as the ratio of average amplitude within examined interval and average amplitude obtained over the entire frequency range. 2 The statistical analysis was carried out with SigmaPlot 11.0 software (Systat Software, Inc., USA).…”
Section: Discussionmentioning
confidence: 99%
“…Spectral analysis of LDF signals obtained was performed with continuous adaptive wavelet transform 22 To define anesthesia effects on the amplitudes of low frequency components of LDF signals we calculated relative amplitudes as the ratio of average amplitude within examined interval and average amplitude obtained over the entire frequency range. 2 The statistical analysis was carried out with SigmaPlot 11.0 software (Systat Software, Inc., USA).…”
Section: Discussionmentioning
confidence: 99%
“…2). Only dependencies for artery and peripheral artery were subsequently picked for spectral content analysis by adaptive wavelet transform [18].…”
Section: Peripheral Arterymentioning
confidence: 99%
“…Wavelet analysis was performed using an Adaptive Wavelet Transform (AWT) proposed to be used for blood flow oscillation analysis by Tankanag et al to minimize the edge effect inherent to the continuous wavelet transform [9]. The continuous wavelet transform is shown in Eq.…”
Section: Time-frequency Analysismentioning
confidence: 99%