Next Article in Journal
Quantifying Redundant Information in Predicting a Target Random Variable
Next Article in Special Issue
Dynamical Change of Signal Complexity in the Brain During Inhibitory Control Processes
Previous Article in Journal
A New Robust Regression Method Based on Minimization of Geodesic Distances on a Probabilistic Manifold: Application to Power Laws
Previous Article in Special Issue
Symbolic Entropy of the Amplitude rather than the Instantaneous Frequency of EEG Varies in Dementia
Article Menu

Export Article

Open AccessArticle
Entropy 2015, 17(7), 4627-4643; doi:10.3390/e17074627

Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy

1
IRCCS Centro Neurolesi Bonino-Pulejo, Via Palermo c/da Casazza, SS. 113, Messina, Italy
2
HypoSafe A/S, Diplomvej 381, 2800 Kgs. Lyngby, Denmark
3
Neurophysiology Center, Department of Neurology, Roskilde University Hospital, Koegevej 7-13, DK-4000 Roskilde, Denmark
4
DICEAM Department, Mediterranean University of Reggio Calabria, Via Graziella Feo di Vito, 89060 Reggio Calabria, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Wassim M. Haddad
Received: 31 March 2015 / Revised: 18 June 2015 / Accepted: 25 June 2015 / Published: 2 July 2015
(This article belongs to the Special Issue Entropy in Human Brain Networks)
View Full-Text   |   Download PDF [1470 KB, uploaded 2 July 2015]   |  

Abstract

Permutation entropy (PE) has been widely exploited to measure the complexity of the electroencephalogram (EEG), especially when complexity is linked to diagnostic information embedded in the EEG. Recently, the authors proposed a spatial-temporal analysis of the EEG recordings of absence epilepsy patients based on PE. The goal here is to improve the ability of PE in discriminating interictal states from ictal states in absence seizure EEG. For this purpose, a parametrical definition of permutation entropy is introduced here in the field of epileptic EEG analysis: the permutation Rényi entropy (PEr). PEr has been extensively tested against PE by tuning the involved parameters (order, delay time and alpha). The achieved results demonstrate that PEr outperforms PE, as there is a statistically-significant, wider gap between the PEr levels during the interictal states and PEr levels observed in the ictal states compared to PE. PEr also outperformed PE as the input to a classifier aimed at discriminating interictal from ictal states. View Full-Text
Keywords: permutation entropy; electroencephalogram; Rényi’s entropy; absence seizures permutation entropy; electroencephalogram; Rényi’s entropy; absence seizures
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Mammone, N.; Duun-Henriksen, J.; Kjaer, T.W.; Morabito, F.C. Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy. Entropy 2015, 17, 4627-4643.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top