Using modified sample entropy to characterize aging-associated microvascular dysfunction

Cutaneous microvascular function can be assessed by skin blood flow (SBF) response to thermal stimuli. Usually, the activities of the regulatory mechanisms are quantified by means of spectral analysis of the response. However, spectral measures are unable to characterize the nonlinear dynamics of SB...

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Main Authors: Fuyuan eLiao, Yih-Kuen eJan
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-04-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00126/full
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author Fuyuan eLiao
Fuyuan eLiao
Yih-Kuen eJan
Yih-Kuen eJan
author_facet Fuyuan eLiao
Fuyuan eLiao
Yih-Kuen eJan
Yih-Kuen eJan
author_sort Fuyuan eLiao
collection DOAJ
description Cutaneous microvascular function can be assessed by skin blood flow (SBF) response to thermal stimuli. Usually, the activities of the regulatory mechanisms are quantified by means of spectral analysis of the response. However, spectral measures are unable to characterize the nonlinear dynamics of SBF signal. Sample entropy (SampEn) is a commonly used nonlinear measure of the degree of regularity of time series. However, SampEn value depends on the relationship between the frequency of the studied dynamics and sampling rate. Hence, when time series data are oversampled, SampEn may give misleading results. We modified the definition of SampEn by including a lag between successive data points of the vectors to be compared to address the oversampled issue. The lag could be chosen as the first minimum of the auto mutual information function of the time series. We tested the performance of modified SampEn using simulated signals and SBF data in the young and old groups. The results indicated that modified SampEn yields consistent results for different sampling rates in simulated data, but SampEn cannot. Blood flow data showed a higher degree of regularity during the maximal vasodilation period as compared to the baseline in both groups and a higher degree of regularity in the older group as compared to the young group. Furthermore, our results showed that during the second peak the more regular behavior of blood flow oscillations (BFO) is mainly attributed to enhanced cardiac oscillations. This study suggests that the modified SampEn approach may be useful for assessing microvascular function.
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spelling doaj.art-bcf386cb6b7f4a35a45a2a8469145b932022-12-21T20:34:38ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2016-04-01710.3389/fphys.2016.00126166744Using modified sample entropy to characterize aging-associated microvascular dysfunctionFuyuan eLiao0Fuyuan eLiao1Yih-Kuen eJan2Yih-Kuen eJan3Xi'an Technological UniversityUniversity of Illinois at Urbana-ChampaignUniversity of Illinois at Urbana-ChampaignUniversity of Illinois at Urbana-ChampaignCutaneous microvascular function can be assessed by skin blood flow (SBF) response to thermal stimuli. Usually, the activities of the regulatory mechanisms are quantified by means of spectral analysis of the response. However, spectral measures are unable to characterize the nonlinear dynamics of SBF signal. Sample entropy (SampEn) is a commonly used nonlinear measure of the degree of regularity of time series. However, SampEn value depends on the relationship between the frequency of the studied dynamics and sampling rate. Hence, when time series data are oversampled, SampEn may give misleading results. We modified the definition of SampEn by including a lag between successive data points of the vectors to be compared to address the oversampled issue. The lag could be chosen as the first minimum of the auto mutual information function of the time series. We tested the performance of modified SampEn using simulated signals and SBF data in the young and old groups. The results indicated that modified SampEn yields consistent results for different sampling rates in simulated data, but SampEn cannot. Blood flow data showed a higher degree of regularity during the maximal vasodilation period as compared to the baseline in both groups and a higher degree of regularity in the older group as compared to the young group. Furthermore, our results showed that during the second peak the more regular behavior of blood flow oscillations (BFO) is mainly attributed to enhanced cardiac oscillations. This study suggests that the modified SampEn approach may be useful for assessing microvascular function.http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00126/fullAgingComplexitySkin blood flowsample entropyBlood flow oscillations
spellingShingle Fuyuan eLiao
Fuyuan eLiao
Yih-Kuen eJan
Yih-Kuen eJan
Using modified sample entropy to characterize aging-associated microvascular dysfunction
Frontiers in Physiology
Aging
Complexity
Skin blood flow
sample entropy
Blood flow oscillations
title Using modified sample entropy to characterize aging-associated microvascular dysfunction
title_full Using modified sample entropy to characterize aging-associated microvascular dysfunction
title_fullStr Using modified sample entropy to characterize aging-associated microvascular dysfunction
title_full_unstemmed Using modified sample entropy to characterize aging-associated microvascular dysfunction
title_short Using modified sample entropy to characterize aging-associated microvascular dysfunction
title_sort using modified sample entropy to characterize aging associated microvascular dysfunction
topic Aging
Complexity
Skin blood flow
sample entropy
Blood flow oscillations
url http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00126/full
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