LEADER 06816nam 2201837z- 450 001 9910557629003321 005 20231214133309.0 035 $a(CKB)5400000000045124 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69266 035 $a(EXLCZ)995400000000045124 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiscale Entropy Approaches and Their Applications 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (446 p.) 311 $a3-03943-340-7 311 $a3-03943-341-5 330 $aMultiscale 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. 606 $aHistory of engineering & technology$2bicssc 610 $aelectrocardiogram 610 $aheart rate variability 610 $amultiscale distribution entropy 610 $aRR interval 610 $ashort-term inter-beat interval 610 $aAlzheimer disease 610 $afunctional near infra-red spectroscopy 610 $asignal complexity 610 $aclock drawing test 610 $adigit span test 610 $acorsi block tapping test 610 $astructural health monitoring 610 $amulti-scale 610 $acomposite cross-sample entropy 610 $aPD 610 $afault diagnosis 610 $avariational mode decomposition 610 $amulti-scale dispersion entropy 610 $aHMSVM 610 $amultiscale entropy 610 $aembodied media 610 $atele-communication 610 $ahumanoid 610 $aprefrontal cortex 610 $ahuman behavior 610 $acomplexity 610 $apage view 610 $asample entropy 610 $aWikipedia 610 $amissing values 610 $aphysiological data 610 $amedical information 610 $apostural stability index 610 $astability states 610 $aensemble empirical mode decomposition 610 $agait 610 $aMultiscale Permutation Entropy 610 $aordinal patterns 610 $aestimator variance 610 $aCramér?Rao Lower Bound 610 $afinite-length signals 610 $anonlinear dynamics 610 $amultiscale indices 610 $acardiac risk stratification 610 $aHolter 610 $along term monitoring 610 $amultifractal spectrum 610 $amultiscale time irreversibility 610 $apredictability 610 $amultiscale analysis 610 $aentropy rate 610 $amemory effect 610 $afinancial time series 610 $aentropy 610 $acardiac autonomic neuropathy 610 $adiabetes 610 $amental workload 610 $amotif 610 $amulti-scale entropy 610 $apermutation entropy 610 $aHRV 610 $aSVM 610 $amultivariate multiscale dispersion entropy 610 $amultivariate time series 610 $aelectroencephalogram 610 $amagnetoencephalogram 610 $aCPD 610 $aEEG 610 $asleep staging 610 $atensor decomposition 610 $apreterm neonate 610 $abearing fault diagnosis 610 $aweak fault 610 $amulti-component signal 610 $alocal robust principal component analysis 610 $amulti-scale permutation entropy 610 $abrain complexity 610 $adynamic functional connectivity 610 $aedge complexity 610 $afluid intelligence 610 $anode complexity 610 $aresting-state functional magnetic resonance imaging 610 $aaging 610 $aconsolidation 610 $adefault mode network 610 $aepisodic memory 610 $afMRI 610 $anetwork complexity 610 $aresting state 610 $acopula density 610 $adependency structures 610 $aVoronoi decomposition 610 $aambient temperature 610 $atelemetry 610 $asystolic blood pressure 610 $apulse interval 610 $athermoregulation 610 $avasopressin 610 $acenter of pressure 610 $afalls 610 $apostural control 610 $across-entropy 610 $amultiscale cross-entropy 610 $aasynchrony 610 $acoupling 610 $across-sample entropy 610 $across-approximate entropy 610 $across-distribution entropy 610 $across-fuzzy entropy 610 $across-conditional entropy 610 $aeye movement events detection 610 $anonlinear analysis time series analysis 610 $aapproximate entropy 610 $afuzzy entropy 610 $amultilevel entropy map 610 $atime-scale decomposition 610 $aheart sound 610 $aICEEMDAN 610 $aRCMDE 610 $aFisher ratio 610 $abiometric characterization 610 $amulti-scale entropy (MSE) 610 $avector autoregressive fractionally integrated (VARFI) models 610 $aheart rate variability (HRV) 610 $asystolic arterial pressure (SAP) 610 $amultivariate data 615 7$aHistory of engineering & technology 700 $aHumeau-Heurtier$b Anne$4edt$01304471 702 $aHumeau-Heurtier$b Anne$4oth 906 $aBOOK 912 $a9910557629003321 996 $aMultiscale Entropy Approaches and Their Applications$93027456 997 $aUNINA