INVESTIGADORES
ROSSO Osvaldo Anibal
artículos
Título:
EEG analysis using wavelet-based informational tools.
Autor/es:
O. A. ROSSO; M, T, MARTIN; A. FIGLIOLA; K. KELLER; A. PLASTINO
Revista:
JOURNAL OF NEUROSCIENCE METHODS
Editorial:
Elsevier Science
Referencias:
Año: 2006 vol. 153 p. 163 - 182
ISSN:
0165-0270
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 tonic–clonic 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 characterizedby both order and maximal complexity.