TY  - GEN
AU  - Humeau-Heurtier,Anne
AU  - Humeau-Heurtier,Anne
TI  - Multiscale Entropy Approaches and Their Applications
SN  - books978-3-03943-341-4
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - electrocardiogram
KW  - heart rate variability
KW  - multiscale distribution entropy
KW  - RR interval
KW  - short-term inter-beat interval
KW  - Alzheimer disease
KW  - functional near infra-red spectroscopy
KW  - signal complexity
KW  - clock drawing test
KW  - digit span test
KW  - corsi block tapping test
KW  - structural health monitoring
KW  - multi-scale
KW  - composite cross-sample entropy
KW  - PD
KW  - fault diagnosis
KW  - variational mode decomposition
KW  - multi-scale dispersion entropy
KW  - HMSVM
KW  - multiscale entropy
KW  - embodied media
KW  - tele-communication
KW  - humanoid
KW  - prefrontal cortex
KW  - human behavior
KW  - complexity
KW  - page view
KW  - sample entropy
KW  - Wikipedia
KW  - missing values
KW  - physiological data
KW  - medical information
KW  - postural stability index
KW  - stability states
KW  - ensemble empirical mode decomposition
KW  - gait
KW  - Multiscale Permutation Entropy
KW  - ordinal patterns
KW  - estimator variance
KW  - Cramér–Rao Lower Bound
KW  - finite-length signals
KW  - nonlinear dynamics
KW  - multiscale indices
KW  - cardiac risk stratification
KW  - Holter
KW  - long term monitoring
KW  - multifractal spectrum
KW  - multiscale time irreversibility
KW  - predictability
KW  - multiscale analysis
KW  - entropy rate
KW  - memory effect
KW  - financial time series
KW  - entropy
KW  - cardiac autonomic neuropathy
KW  - diabetes
KW  - mental workload
KW  - motif
KW  - multi-scale entropy
KW  - permutation entropy
KW  - HRV
KW  - SVM
KW  - multivariate multiscale dispersion entropy
KW  - multivariate time series
KW  - electroencephalogram
KW  - magnetoencephalogram
KW  - CPD
KW  - EEG
KW  - sleep staging
KW  - tensor decomposition
KW  - preterm neonate
KW  - bearing fault diagnosis
KW  - weak fault
KW  - multi-component signal
KW  - local robust principal component analysis
KW  - multi-scale permutation entropy
KW  - brain complexity
KW  - dynamic functional connectivity
KW  - edge complexity
KW  - fluid intelligence
KW  - node complexity
KW  - resting-state functional magnetic resonance imaging
KW  - aging
KW  - consolidation
KW  - default mode network
KW  - episodic memory
KW  - fMRI
KW  - network complexity
KW  - resting state
KW  - copula density
KW  - dependency structures
KW  - Voronoi decomposition
KW  - ambient temperature
KW  - telemetry
KW  - systolic blood pressure
KW  - pulse interval
KW  - thermoregulation
KW  - vasopressin
KW  - center of pressure
KW  - falls
KW  - postural control
KW  - cross-entropy
KW  - multiscale cross-entropy
KW  - asynchrony
KW  - coupling
KW  - cross-sample entropy
KW  - cross-approximate entropy
KW  - cross-distribution entropy
KW  - cross-fuzzy entropy
KW  - cross-conditional entropy
KW  - eye movement events detection
KW  - nonlinear analysis time series analysis
KW  - approximate entropy
KW  - fuzzy entropy
KW  - multilevel entropy map
KW  - time-scale decomposition
KW  - heart sound
KW  - ICEEMDAN
KW  - RCMDE
KW  - Fisher ratio
KW  - biometric characterization
KW  - multi-scale entropy (MSE)
KW  - vector autoregressive fractionally integrated (VARFI) models
KW  - heart rate variability (HRV)
KW  - systolic arterial pressure (SAP)
KW  - multivariate data
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3055
UR  - https://directory.doabooks.org/handle/20.500.12854/69266
ER  -