Multiscale Entropy Approaches and Their Applications

Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. M...

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Bibliographic Details
Other Authors:	Humeau-Heurtier, Anne (Editor)
Format:	Book Chapter
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	History of engineering & technology electrocardiogram heart rate variability multiscale distribution entropy RR interval short-term inter-beat interval Alzheimer disease functional near infra-red spectroscopy signal complexity clock drawing test digit span test corsi block tapping test structural health monitoring multi-scale composite cross-sample entropy PD fault diagnosis variational mode decomposition multi-scale dispersion entropy HMSVM multiscale entropy embodied media tele-communication humanoid prefrontal cortex human behavior complexity page view sample entropy Wikipedia missing values physiological data medical information postural stability index stability states ensemble empirical mode decomposition gait Multiscale Permutation Entropy ordinal patterns estimator variance Cramér-Rao Lower Bound finite-length signals nonlinear dynamics multiscale indices cardiac risk stratification Holter long term monitoring multifractal spectrum multiscale time irreversibility predictability multiscale analysis entropy rate memory effect financial time series entropy cardiac autonomic neuropathy diabetes mental workload motif multi-scale entropy permutation entropy HRV SVM multivariate multiscale dispersion entropy multivariate time series electroencephalogram magnetoencephalogram CPD EEG sleep staging tensor decomposition preterm neonate bearing fault diagnosis weak fault multi-component signal local robust principal component analysis multi-scale permutation entropy brain complexity dynamic functional connectivity edge complexity fluid intelligence node complexity resting-state functional magnetic resonance imaging aging consolidation default mode network episodic memory fMRI network complexity resting state copula density dependency structures Voronoi decomposition ambient temperature telemetry systolic blood pressure pulse interval thermoregulation vasopressin center of pressure falls postural control cross-entropy multiscale cross-entropy asynchrony coupling cross-sample entropy cross-approximate entropy cross-distribution entropy cross-fuzzy entropy cross-conditional entropy eye movement events detection nonlinear analysis time series analysis approximate entropy fuzzy entropy multilevel entropy map time-scale decomposition heart sound ICEEMDAN RCMDE Fisher ratio biometric characterization multi-scale entropy (MSE) vector autoregressive fractionally integrated (VARFI) models heart rate variability (HRV) systolic arterial pressure (SAP) multivariate data
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Summary:	Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system's dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.
Physical Description:	1 electronic resource (446 p.)
ISBN:	books978-3-03943-341-4 9783039433407 9783039433414
Access:	Open Access

Multiscale Entropy Approaches and Their Applications

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