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On the permutation entropy Bayesian estimation
(Elsevier Science, 2021-08)
We present the Bayesian estimation of Permutation Entropy. In particular, we studied the bias and the mean squared error in the entropy estimation when the length of the time series embedded in the m-dimension space is ...
Evaluation of the status of rotary machines by time causal Information Theory quantifiers
(Elsevier Science, 2017-03)
In this paper several causal Information Theory quantifiers, i.e.�Shannon entropy, statistical complexity and Fisher information using the Bandt and Pompe permutation probability distribution, measure are applied to ...
Multi-lag analysis of symbolic entropies on EEG recordings for distress recognition
(Frontiers Media S.A., 2019-05)
Distress is a critical problem in developed societies given its long-term negative effects on physical and mental health. The interest in studying this emotion has notably increased during last years, being electroencephalography ...
Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
(MDPI (Multidisciplinary Digital Publishing Institute), 2018)
Multiscale dynamics under the lens of permutation entropy
(Elsevier Science, 2020-12-01)
In this paper, we characterize multi-scaling dynamics by estimating the permutation entropy at different time lags. Numerical simulations generated from fractional Brownian motion were used to illustrate how this multiscale ...
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment
(2014)
Different techniques originated in information theory and tools from nonlinear systems theory have been applied to the analysis of electro-physiological time series. Several clinically relevant results have emerged from ...