IFLP   13074
INSTITUTO DE FISICA LA PLATA
Unidad Ejecutora - UE
artículos
Título:
EEG analysis using wavelet- based information tools
Autor/es:
O. A. ROSSO; M. T. MARTIN; A. FIGLIOLA; K. KELLER; ANGEL LUIS PLASTINO
Revista:
Journal of Neuroscience Methods
Editorial:
Elsevier
Referencias:
Lugar: Amsterdam; Año: 2006 vol. 153 p. 163 - 182
Resumen:
Wavelet-based informational tools for quantitative electroencephalogram (EEG) record analysis are reviewed. Relative wavelet energies, wavelet
entropies and wavelet statistical complexities are used in the characterization of scalp EEG records corresponding to secondary generalized
tonicclonic epileptic seizures. In particular, we show that the epileptic recruitment rhythm observed during seizure development is well described
in terms of the relative wavelet energies. In addition, during the concomitant time-period the entropy diminishes while complexity grows. This is
construed as evidence supporting the conjecture that an epileptic focus, for this kind of seizures, triggers a self-organized brain state characterized
by both order and maximal complexity.