Multiscale entropy to distinguish physiologic and synthetic RR time series

Costa, Marisa da; Goldberger, Ary L.; Peng, Chung Kang

doi:10.1109/cic.2002.1166726

Cited by 136 publications

(116 citation statements)

References 10 publications

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“…We performed a systematic review of publications using MSE, as defined by Costa et al [15], to analyze COP displacement data. Only this specific version of multiscale entropy was included as part of this review.…”

Section: Systematic Review Methodsmentioning

confidence: 99%

Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations

Gow

Peng

Wayne

et al. 2015

Entropy

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Multiscale entropy (MSE) is a widely used metric for characterizing the nonlinear dynamics of physiological processes. Significant variability, however, exists in the methodological approaches to MSE which may ultimately impact results and their interpretations. Using publications focused on balance-related center of pressure (COP) dynamics, we highlight sources of methodological heterogeneity that can impact study findings. Seventeen studies were systematically identified that employed MSE for characterizing COP displacement dynamics. We identified five key methodological procedures that varied significantly between studies: (1) data length; (2) frequencies of the COP dynamics analyzed; (3) sampling rate; (4) point matching tolerance and sequence length; and (5) filtering of displacement changes from drifts, fidgets, and shifts. We discuss strengths and limitations of the various approaches employed and supply flowcharts to assist in the decision making process regarding each of these procedures. Our guidelines are intended to more broadly inform the design and analysis of future studies employing MSE for continuous time series, such as COP.

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Section: Systematic Review Methodsmentioning

confidence: 99%

Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations

Gow

Peng

Wayne

et al. 2015

Entropy

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“…According to Costa et al, multiscale entropy (MSE) is to sample data from a discrete sequence and analyze the entropy of the sampled sequence [34][35][36]. Multiscale entropy reflects the extent how many new patterns showed up in different sampling scale.…”

Section: Complexity Analysis Of Pulse Wave Signalsmentioning

confidence: 99%

Low Power 0.15 THz Wave Can Obviously Influence Human Blood Cycle Dynamics

Yu¹,

Liu²,

Cui³

et al. 2017

dteees

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“…These contradictory results led Costa et al to propose the multiscale entropy (MSE) analysis, a new entropy-based method which incorporates both entropy and scale [6,8,11]. This method may be more appropriate for a correct estimation of system complexity and also enables the distinction between synthetic and physiological time series [9], since synthetic time series are simpler than physiologic time series, which under healthy conditions, present a complex temporal structure with multiscale correlations. However, little is known about the applicability of MSE analysis to animal studies [5,43].…”

Section: Introductionmentioning

confidence: 99%

Comparison of different methods of heart rate entropy analysis during acute anoxia superimposed on a chronic rat model of pulmonary hypertension

Gonçalves

Henriques‐Coelho

Rocha

et al. 2013

Medical Engineering & Physics

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a b s t r a c tAcute life-threatening situations are particularly critical when superimposed on chronic diseases. The objective of this study was the assessment of heart rate (HR) dynamics during episodes of acute anoxia superimposed on a rat model of chronic pulmonary hypertension. In 10 adult Wistar rats, five weeks after pulmonary hypertension induction with Monocrotaline, we analysed eight 1-min HR segments, during episodes of baseline, mechanical ventilation and acute anoxia, using linear indices, approximate entropy (ApEn), sample entropy (SampEn) and multiscale entropy (MSE). The transition from baseline or mechanical ventilation to early anoxia was identified through almost all indices, but SampEn(2,0.6) was the index that better identified all the transitions. MSE presented limited performance, possibly due to the non-stationary nature and short duration of the acute anoxia episodes. A systematic evaluation of all computed HR indices may help to identify which indices or combination of indices more adequately discriminates and monitors critical acute events superimposed on chronic clinical conditions.

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Multiscale entropy to distinguish physiologic and synthetic RR time series

Cited by 136 publications

References 10 publications

Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations

Multiscale Entropy Analysis of Center-of-Pressure Dynamics in Human Postural Control: Methodological Considerations

Low Power 0.15 THz Wave Can Obviously Influence Human Blood Cycle Dynamics

Comparison of different methods of heart rate entropy analysis during acute anoxia superimposed on a chronic rat model of pulmonary hypertension

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