Detecting dynamical changes in time series using the permutation entropy.
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A Pharmacokinetics-Neural Mass Model (PK-NMM) for the Simulation of EEG Activity during Propofol AnesthesiaA Comparison of Multiscale Permutation Entropy Measures in On-Line Depth of Anesthesia MonitoringComplexity of resting-state EEG activity in the patients with early-stage Parkinson’s diseaseQuantitative identification of dynamical transitions in a semiconductor laser with optical feedback.Characterizing system dynamics with a weighted and directed network constructed from time series data.Order patterns recurrence plots in the analysis of ERP data.Multiscale analysis of biological data by scale-dependent lyapunov exponentElectromyographic permutation entropy quantifies diaphragmatic denervation and reinnervationOrdinal symbolic analysis and its application to biomedical recordingsAssessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients.EEG entropy measures in anesthesiaExtensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signalsJoint-specific changes in locomotor complexity in the absence of muscle atrophy following incomplete spinal cord injury.Spectral Gini Index for Quantifying the Depth of Consciousness.Reduction of randomness in seismic noise as a short-term precursor to a volcanic eruption.Regenerating time series from ordinal networks.Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling.Neural Correlates of Sevoflurane-induced Unconsciousness Identified by Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography.Generalized permutation entropy analysis based on the two-index entropic form Sq,δ.Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems.Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements.Model-free quantification of time-series predictability.Time scales of autonomic information flow in near-term fetal sheep.Dynamical states, possibilities and propagation of stress signal.Fast monitoring of epileptic seizures using recurrence time statistics of electroencephalography.Complexity measures of brain wave dynamics.Epilepsy and nonlinear dynamics.Permutation-information-theory approach to unveil delay dynamics from time-series analysis.Multi-scale sample entropy of electroencephalography during sevoflurane anesthesia.The validity of linear and non-linear heart rate metrics as workload indicators of emergency physicians.Usefulness of permutation entropy as an anesthetic depth indicator in children.Parameter selection in permutation entropy for an electroencephalographic measure of isoflurane anesthetic drug effect.Complexity extraction of electroencephalograms in Alzheimer's disease with weighted-permutation entropy.Symbolic transfer entropy: inferring directionality in biosignals.Deterministic dynamics of neural activity during absence seizures in rats.Permutation entropy with vector embedding delays.Control of apoptosis by SMAR1.Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer's disease.Quantifying the Dynamical Complexity of Chaotic Time Series.Synchronization in stress p53 network.
P2860
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P2860
Detecting dynamical changes in time series using the permutation entropy.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
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2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
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2004年學術文章
@zh-hant
name
Detecting dynamical changes in time series using the permutation entropy.
@en
Detecting dynamical changes in time series using the permutation entropy.
@nl
type
label
Detecting dynamical changes in time series using the permutation entropy.
@en
Detecting dynamical changes in time series using the permutation entropy.
@nl
prefLabel
Detecting dynamical changes in time series using the permutation entropy.
@en
Detecting dynamical changes in time series using the permutation entropy.
@nl
P2093
P2860
P1433
P1476
Detecting dynamical changes in time series using the permutation entropy.
@en
P2093
L M Hively
V A Protopopescu
Wen-Wen Tung
P2860
P304
P356
10.1103/PHYSREVE.70.046217
P407
P433
P577
2004-10-27T00:00:00Z