differentiating interictal and ictal states in childhood absence epilepsy through permutation rényi entropy

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ID: 242645
2015
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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.
Reference Key
mammone2015entropydifferentiating Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Nadia Mammone;Jonas Duun-Henriksen;Troels W. Kjaer;Francesco C. Morabito
Journal European journal of medicinal chemistry
Year 2015
DOI
10.3390/e17074627
URL
http://www.mdpi.com/1099-4300/17/7/4627
Keywords
electroencephalogram permutation entropy

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