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Entropy 2014, 16(11), 5777-5795; doi:10.3390/e16115777

Multiscale Compression Entropy of Microvascular Blood FlowSignals: Comparison of Results from Laser Speckle Contrastand Laser Doppler Flowmetry Data in Healthy Subjects

1
Laboratoire Angevin de Recherche en Ingénierie des Systèmes, University of Angers, LARIS, Angers 49000, France
2
School of Electrical and Electronic Engineering, University of Adelaide, Adelaide SA 5005, Australia
3
University of Rennes 1, CHU of Rennes, Rennes 35065, France
4
INSERM Clinical Investigation Center CIC 1414, F-35043 Rennes, France
5
Laboratory of Vascular Investigations, University Hospital of Angers, France
*
Author to whom correspondence should be addressed.
Received: 7 October 2014 / Revised: 27 October 2014 / Accepted: 30 October 2014 / Published: 4 November 2014
(This article belongs to the Special Issue Entropy and Cardiac Physics)
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Abstract

Microvascular perfusion is commonly used to study the peripheral cardiovascular system. Microvascular blood flow can be continuously and non-invasively monitored with laser speckle contrast imaging (LSCI) or with laser Doppler flowmetry (LDF). These two optical-based techniques give perfusion values in arbitrary units. Our goal is to better understand the perfusion time series given by each technique. For this purpose, we propose a nonlinear complexity analysis of LSCI and LDF time series recorded simultaneously in nine healthy subjects. This is performed through the computation of their multiscale compression entropy. The results obtained with LSCI time series computed from different regions of interest (ROI) sizes are examined. Our findings show that, for LSCI and LDF time series, compression entropy values are less than one for all of the scales analyzed. This suggests that, for all scales, there are repetitive structures within the data fluctuations. Moreover, at the largest scales studied, LDF signals seem to have structures that are different from those Entropy 2014, 16 5778 of Gaussian white noise. By opposition, this is not observed for LSCI time series computed from small ROI sizes View Full-Text
Keywords: entropy; data compression; nonlinear dynamics; laser speckle contrast imaging; laser Doppler flowmetry entropy; data compression; nonlinear dynamics; laser speckle contrast imaging; laser Doppler flowmetry
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Humeau-Heurtier, A.; Baumert, M.; Mahé, G.; Abraham, P. Multiscale Compression Entropy of Microvascular Blood FlowSignals: Comparison of Results from Laser Speckle Contrastand Laser Doppler Flowmetry Data in Healthy Subjects. Entropy 2014, 16, 5777-5795.

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