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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Detalhes bibliográficos
Autor Corporativo: Humeau-Heurtier, Anne
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
Assuntos:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and 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
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/69266
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