Artículo

Rosso, O.A.; Martin, M.T.; Figliola, A.; Keller, K.; Plastino, A. "EEG analysis using wavelet-based information tools" (2006) Journal of Neuroscience Methods. 153(2):163-182
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Abstract:

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 characterized by both order and maximal complexity. © 2006 Elsevier B.V. All rights reserved.

Registro:

Documento: Artículo
Título:EEG analysis using wavelet-based information tools
Autor:Rosso, O.A.; Martin, M.T.; Figliola, A.; Keller, K.; Plastino, A.
Filiación:Chaos and Biology Group, Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, 1428 Ciudad de Buenos Aires, Argentina
Instituto de Física, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, C.C. 727, 1900 La Plata, Argentina
Chaos and Biology Group, Instituto de Desarrollo Humano, Campus Univ, J Maria Gutierrez 1150, Los Polvorines, Pcia de Buenos Aires, Argentina
Institut für Mathematik, Universität zu Lübeck, Wallstrasse 40, D-23560 Lübeck, Germany
Palabras clave:EEG; Epileptic seizures; Information theory; Signal entropy; Statistical complexity; Wavelet analysis; analytic method; article; electroencephalogram; entropy; epileptic discharge; epileptic focus; grand mal epilepsy; human; information processing; information science; priority journal; scalp; statistics; tonic clonic seizure; waveform; adolescent; adult; brain; child; comparative study; electroencephalography; epilepsy; female; male; pathophysiology; physiology; signal processing; time; Adolescent; Adult; Brain; Child; Electroencephalography; Entropy; Epilepsy; Female; Humans; Male; Signal Processing, Computer-Assisted; Time Factors
Año:2006
Volumen:153
Número:2
Página de inicio:163
Página de fin:182
DOI: http://dx.doi.org/10.1016/j.jneumeth.2005.10.009
Título revista:Journal of Neuroscience Methods
Título revista abreviado:J. Neurosci. Methods
ISSN:01650270
CODEN:JNMED
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v153_n2_p163_Rosso

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Citas:

---------- APA ----------
Rosso, O.A., Martin, M.T., Figliola, A., Keller, K. & Plastino, A. (2006) . EEG analysis using wavelet-based information tools. Journal of Neuroscience Methods, 153(2), 163-182.
http://dx.doi.org/10.1016/j.jneumeth.2005.10.009
---------- CHICAGO ----------
Rosso, O.A., Martin, M.T., Figliola, A., Keller, K., Plastino, A. "EEG analysis using wavelet-based information tools" . Journal of Neuroscience Methods 153, no. 2 (2006) : 163-182.
http://dx.doi.org/10.1016/j.jneumeth.2005.10.009
---------- MLA ----------
Rosso, O.A., Martin, M.T., Figliola, A., Keller, K., Plastino, A. "EEG analysis using wavelet-based information tools" . Journal of Neuroscience Methods, vol. 153, no. 2, 2006, pp. 163-182.
http://dx.doi.org/10.1016/j.jneumeth.2005.10.009
---------- VANCOUVER ----------
Rosso, O.A., Martin, M.T., Figliola, A., Keller, K., Plastino, A. EEG analysis using wavelet-based information tools. J. Neurosci. Methods. 2006;153(2):163-182.
http://dx.doi.org/10.1016/j.jneumeth.2005.10.009