Title
A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients.
Abstract
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed. In addition, an extension of this methodology based on multiresolution quantities, called wavelet leaders, is presented. In particular, the temporal evolution of Shannon entropy and the statistical complexity evaluated with different sets of multiresolution wavelet coefficients are considered. Both methodologies are applied to the quantitative EEG time series analysis of a tonic-clonic epileptic seizure, and comparative results are presented. In particular, even when both methods describe the dynamical changes of the EEG time series, the one based on wavelet leaders presents a better time resolution.
Year
DOI
Venue
2014
10.3390/e16115976
ENTROPY
Keywords
Field
DocType
wavelet analysis,wavelet leaders,entropy,statistical complexity,local regularity,EEG
Information theory,Time series,Pattern recognition,Epileptic seizure,Discrete wavelet transform,Artificial intelligence,Statistics,Entropy (information theory),Mathematics,Electroencephalography,Wavelet,Wavelet transform
Journal
Volume
Issue
Citations 
16
11
0
PageRank 
References 
Authors
0.34
9
5
Name
Order
Citations
PageRank
Mariel Rosenblatt121.14
Alejandra Figliola221.48
Gustavo Paccosi300.68
Eduardo Serrano4469.46
Osvaldo A. Rosso55813.07