Buscar
Mostrando ítems 1-10 de 100
Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series
(Molecular Diversity Preservation International, 2018-02)
This study?s aim was to apply permutation entropy (PE) and permutation min-entropy (PME) over an RR interval time series to quantify the changes in cardiac activity among multiple emotional states. Electrocardiogram (ECG) ...
Classification of normal and pre-ictal EEG signals using permutation entropies and a generalized linear model as a classifier
(Molecular Diversity Preservation International, 2017-02)
In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution ...
Detecting nonlinearity in short and noisy time series using the permutation entropy
(Elsevier Science, 2017-11)
Permutation entropy contains the information about the temporal structure associated with the underlying dynamics of a time series. Its estimation is simple, and because it is based on the comparison of neighboring values, ...
Influence of the signal to noise ratio for the estimation of Permutation Entropy
(Elsevier Science, 2020-09)
In this paper, the influence of signal to noise ratio in the estimation of Permutation Entropy was studied upon signals obtained by simulations of a chaoticdeterministic system. Then, using a bootstrap scheme, we applied ...
Confidence intervals and hypothesis testing for the Permutation Entropy with an application to epilepsy
(Elsevier Science, 2018-04)
In nonlinear dynamics, and to a lesser extent in other fields, a widely used measure of complexity is the Permutation Entropy. But there is still no known method to determine the accuracy of this measure. There has been ...
Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
(Molecular Diversity Preservation International, 2017-10-13)
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems ...