Multiscale entropy of laser Doppler flowmetry signals in healthy human subjects

Humeau, Anne; Buard, Benjamin; Mahé, Guillaume; Rousseau, D.; Chapeau‐Blondeau, François; Ábrahám, Pierre

doi:10.1118/1.3512796

Cited by 22 publications

(18 citation statements)

References 24 publications

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“…The results show a nonmonotonic evolution of the multiscale entropy for the 12 LDF signals. We therefore confirm the results obtained in [11] and show that the singled out scales are similar for signals recorded simultaneously at different locations on a given subject. This also shows that the observed amplitude changes in the LDF signals (amplitude changes due to physiological variations, e.g., modifications in vascular tone) do not influence much the multiscale entropy pattern.…”

Section: Resultssupporting

confidence: 90%

“…It has been shown that multiscale entropy of HRV data is able to separate healthy and pathologic groups [9], [10]. A very recent study has implemented the first computation of the multiscale entropy for signals of the peripheral CVS (LDF signals) [11]. A nonmonotonic evolution of the multiscale entropy for LDF signals has been reported.…”

Section: Introductionmentioning

confidence: 97%

“…This behavior is markedly different from the one of HRV data, displays a monotonic increase with scales. The multiscale entropy of LDF signals observed in [11] presents two distinctive scales with two extrema: the multiscale entropy first reaches a maximum and then decreases to reach a minimum. This suggests that the underlying processes present maximum and then minimum irregularities at the corresponding scales.…”

Section: Introductionmentioning

confidence: 98%

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Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series

Humeau

Chapeau‐Blondeau

Rousseau

et al. 2011

IEEE Trans. Biomed. Eng.

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Processes regulating the cardiovascular system (CVS) are numerous. Each possesses several temporal scales. Their interactions lead to interdependences across multiple scales. For the CVS analysis, different multiscale studies have been proposed, mostly performed on heart rate variability signals (HRV) reflecting the central CVS; only few were dedicated to data from the peripheral CVS, such as laser Doppler flowmetry (LDF) signals. Very recently, a study implemented the first computation of multiscale entropy for LDF signals. A nonmonotonic evolution of multiscale entropy with two distinctive scales was reported, leading to a markedly different behavior from the one of HRV. Our goal herein is to confirm these results and to go forward in the investigations on origins of this behavior. For this purpose, 12 LDF signals recorded simultaneously on the two forearms of six healthy subjects are processed. This is performed before and after application of physiological scales-based filters aiming at isolating previously found frequency bands linked to physiological activities. The results obtained with signals recorded simultaneously on two different sites of each subject show a probable central origin for the nonmonotonic behavior. The filtering results lead to the suggestion that origins of the distinctive scales could be dominated by the cardiac activity.

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Section: Resultssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

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Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series

Humeau

Chapeau‐Blondeau

Rousseau

et al. 2011

IEEE Trans. Biomed. Eng.

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“…Variations of skin perfusion are easily detected by LSCI and LDF techniques, but a robust interpretation of the information very often necessitates image and/or signal processing works (see, e.g., Refs. [24][25][26]. Moreover, LSCI and LDF skin data coming from the peripheral cardiovascular system, a comparison of the processing results with those obtained from signals of the central cardiovascular system (e.g., HRV signals) can bring interesting information to better understand the dynamics of the whole cardiovascular system.…”

Section: Introductionmentioning

confidence: 99%

Laser speckle contrast imaging: Multifractal analysis of data recorded in healthy subjects

et al. 2012

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“…Complexity is typically assessed as "entropy," a general measure of "disorganization" in physical, chemical and biological phenomena [9]. In biomedical research, entropy is used as a quantitative parameter, and is typically assessed in continuous, but temporally unpredictable, physiological signals, such as electrocardiography [10], electroencephalography [11], blood pressure [12], laser Doppler flowmetry (LDF) [13], and photoplethysmography (PPG) [14]. Physiological signals may be regular (e.g., more periodic) or irregular.…”

Section: Introductionmentioning

confidence: 99%

Texture Analysis is a Useful Tool to Assess the Complexity Profile of Microcirculatory Blood Flow

et al. 2020

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The quantitative assessment of cardiovascular functions is particularly complicated, especially during any physiological challenge (e.g., exercise), with physiological signals showing intricate oscillatory properties. Signal complexity is one of such properties, and reflects the adaptability of the physiological systems that generated them. However, it is still underexplored in vascular physiology. In the present study, we calculate the complexity of photoplethysmography (PPG) signals and their frequency components obtained with the wavelet transform (WT), with two analytical tools—(i) texture analysis (TA) of WT scalograms, and (ii) multiscale entropy (MSE) analysis. PPG signals were collected from twelve healthy young subjects (26.0 ± 5.0 y.o.) during a unilateral leg lowering maneuver to evoke the venoarteriolar reflex (VAR) while lying supine, with the contralateral leg remaining stationary. Results showed that TA was able to detect a decrease in complexity, viewed as an increase in texture entropy (TE), of the PPG scalograms during VAR, similarly to MSE, suggesting that a decrease in the competence of vascular regulation mechanisms might be present during VAR. Nonetheless, TA showed lower sensitivity than MSE for low frequency spectral regions. TA seems to be a promising and straightforward analytical tool for the assessment of the complexity of PPG perfusion signals.

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Multiscale entropy of laser Doppler flowmetry signals in healthy human subjects

Cited by 22 publications

References 24 publications

Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series

Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series

Laser speckle contrast imaging: Multifractal analysis of data recorded in healthy subjects

Texture Analysis is a Useful Tool to Assess the Complexity Profile of Microcirculatory Blood Flow

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