Buscar
Mostrando ítems 1-10 de 13
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 ...
Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
(MDPI (Multidisciplinary Digital Publishing Institute), 2018)
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 ...
Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy
(Elsevier Science, 2016-03)
In this paper the permutation min-entropy has been implemented to unveil the presence of temporal structures in the daily values of European corporate bond indices from April 2001 to August 2015. More precisely, the ...
Permutation min-entropy: An improved quantifier for unveiling subtle temporal correlations
(IOP Publishing, 2015-01)
The aim of this letter is to introduce the permutation min-entropy as an improved symbolic tool for identifying the existence of hidden temporal correlations in time series. On the one hand, analytical results obtained for ...
Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls
(Pergamon-Elsevier Science Ltd, 2018-09)
We present a comprehensive study of temporal Low-Level acoustic Descriptors (LLDs) to automatically segment anuran calls in audio streams. The acoustic segmentation, or syllable extraction, is a key task shared by most of ...