Title | ||
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A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients. |
Abstract | ||
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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 Rosenblatt | 1 | 2 | 1.14 |
Alejandra Figliola | 2 | 2 | 1.48 |
Gustavo Paccosi | 3 | 0 | 0.68 |
Eduardo Serrano | 4 | 46 | 9.46 |
Osvaldo A. Rosso | 5 | 58 | 13.07 |