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Studying the Oscillatory Components of Human Skin Microcirculation

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Measuring the Skin

Abstract

Laser Doppler flowmetry (LDF) is used to study skin microcirculation, providing a nonstationary signal which can be simplified with tools such as the wavelet transform (WT), detrended fluctuation analysis (DFA), and multiscale entropy analysis (MSE). WT splits the LDF signal into its main frequency components: heart, respiration, myogenic, sympathetic, and metabolic; DFA determines the α coefficient, which can translate correlations, and MSE quantifies the complexity of the signal over multiple time scales. We characterized the LDF signal obtained during a lower limb occlusion maneuver performed on young adults. Results revealed that the LDF signal is predominantly of sympathetic and metabolic origin, showing different correlation and entropy profiles during the different phases of the protocol. Occlusion significantly changed the components’ amplitude ratios, entropy values, and α exponents. The heart and respiration components showed 1/f noise-like behavior, and the myogenic, sympathetic, and metabolic components showed Brownian noise-like behavior. The combined use of these tools helps to better understand the LDF signal, with an aim to improve its clinical and diagnostic utility.

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Correspondence to L. Monteiro Rodrigues .

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Silva, H., Ferreira, H., Rodrigues, L.M. (2015). Studying the Oscillatory Components of Human Skin Microcirculation. In: Humbert, P., Maibach, H., Fanian, F., Agache, P. (eds) Measuring the Skin. Springer, Cham. https://doi.org/10.1007/978-3-319-26594-0_62-1

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  • DOI: https://doi.org/10.1007/978-3-319-26594-0_62-1

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