Differentiating interictal and ictal states in childhood absence epilepsy through permutation Rényi entropy

Nadia Mammone, Jonas Duun-Henriksen, Troels W. Kjaer, Francesco C. Morabito

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)4627-4643
Number of pages17
JournalEntropy
Volume17
Issue number7
DOIs
Publication statusPublished - 2015

Keywords

  • Absence seizures
  • Electroencephalogram
  • Permutation entropy
  • Rényi's entropy

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Differentiating interictal and ictal states in childhood absence epilepsy through permutation Rényi entropy'. Together they form a unique fingerprint.

  • Cite this