Artículo

Rosso, O.A.; Martin, M.T.; Plastino, A. "Brain electrical activity analysis using wavelet-based informational tools" (2002) Physica A: Statistical Mechanics and its Applications. 313(3-4):587-608
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Abstract:

The traditional way of analyzing brain electrical activity, on the basis of Electroencephalography (EEG) records, relies mainly on visual inspection and years of training. Although it is quite useful, of course, one has to acknowledge its subjective nature that hardly allows for a systematic protocol. In order to overcome this undesirable feature, a quantitative EEG analysis has been developed over the years that introduces objective measures, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. The processing of information by the brain is reflected in dynamical changes of the electrical activity in (i) time, (ii) frequency, and (iii) space. Therefore, the concomitant studies require methods capable of describing the qualitative variation of the signal in both time and frequency. In the present work we introduce new information tools based on the wavelet transform for the assessment of EEG data as adapted to a non-extensive scenario. © 2002 Elsevier Science B.V. All rights reserved.

Registro:

Documento: Artículo
Título:Brain electrical activity analysis using wavelet-based informational tools
Autor:Rosso, O.A.; Martin, M.T.; Plastino, A.
Filiación:Instituto De Cálculo, Facultad De Ciencias Exactas Y Naturales, Ciudad Universitaria, 1428 Ciudad de Buenos Aires, Argentina
Instituto De Física, Universidad Nacional De La Plata and Argentina's National Research Council (CONICET), C.C. 727, 1900 La Plata, Argentina
Palabras clave:EEG; Epileptic seizures; Signal entropy; Time-frequency signal analysis; Wavelet analysis; Brain; Data processing; Frequencies; Neurology; Signal processing; Wavelet transforms; Neural dynamics; Visual inspection; Electroencephalography
Año:2002
Volumen:313
Número:3-4
Página de inicio:587
Página de fin:608
DOI: http://dx.doi.org/10.1016/S0378-4371(02)00958-5
Título revista:Physica A: Statistical Mechanics and its Applications
Título revista abreviado:Phys A Stat Mech Appl
ISSN:03784371
CODEN:PHYAD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v313_n3-4_p587_Rosso

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Citas:

---------- APA ----------
Rosso, O.A., Martin, M.T. & Plastino, A. (2002) . Brain electrical activity analysis using wavelet-based informational tools. Physica A: Statistical Mechanics and its Applications, 313(3-4), 587-608.
http://dx.doi.org/10.1016/S0378-4371(02)00958-5
---------- CHICAGO ----------
Rosso, O.A., Martin, M.T., Plastino, A. "Brain electrical activity analysis using wavelet-based informational tools" . Physica A: Statistical Mechanics and its Applications 313, no. 3-4 (2002) : 587-608.
http://dx.doi.org/10.1016/S0378-4371(02)00958-5
---------- MLA ----------
Rosso, O.A., Martin, M.T., Plastino, A. "Brain electrical activity analysis using wavelet-based informational tools" . Physica A: Statistical Mechanics and its Applications, vol. 313, no. 3-4, 2002, pp. 587-608.
http://dx.doi.org/10.1016/S0378-4371(02)00958-5
---------- VANCOUVER ----------
Rosso, O.A., Martin, M.T., Plastino, A. Brain electrical activity analysis using wavelet-based informational tools. Phys A Stat Mech Appl. 2002;313(3-4):587-608.
http://dx.doi.org/10.1016/S0378-4371(02)00958-5