Wavelet Jensen-Shannon divergence as a tool for studying the dynamics of frequency band components in EEG epileptic seizures

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We develop a quantitative method of analysis of EEG records. The method is based on the wavelet analysis of the record and on the capability of the Jensen-Shannon divergence (JSD) to identify dynamical changes in a time series. The JSD is a measure of distance between probability distributions. Ther...

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Autor principal: Pereyra, M.E
Otros Autores: Lamberti, Pedro Walter, Rosso, O.A
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2007
Acceso en línea:Registro en Scopus
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100 1 |a Pereyra, M.E. 
245 1 0 |a Wavelet Jensen-Shannon divergence as a tool for studying the dynamics of frequency band components in EEG epileptic seizures 
260 |c 2007 
270 1 0 |m Rosso, O.A.; Chaos and Biology Group, Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Pabellon II, Ciudad Universitaria, 1428 Ciudad Autonoma de Buenos Aires, Argentina; email: oarosso@fibertel.com.ar 
504 |a Başar, E., (1980) EEG-Brain Dynamics. Relation Between EEG and Brain Evoked Potentials, , Elsevier, Amsterdam 
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504 |a Başar, E., (1999) Brain Function and Oscillations (II): Integrative Brain Function. Neurophysiology and Cognitive Processes, , Springer, Berlin 
504 |a Abarbanel, H.D.I., (1996) Analysis of Observed Chaotic Data, , Springer, New York 
504 |a Kantz, H., Schreiber, T., (1997) Nonlinear Time Series Analysis, , Cambridge University Press, Cambridge 
504 |a Blanco, S., Figliola, F., Quian Quiroga, R., Rosso, O.A., Serrano, E., (1998) Phys. Rev. E, 57, p. 932 
504 |a Rosso, O.A., Blanco, S., Yordanova, J., Kolev, V., Figliola, A., Schürmann, M., Başar, E., (2001) J. Neurosci. Methods, 105, p. 65 
504 |a Rosso, O.A., Mairal, M.L., (2002) Physica A, 312, p. 469 
504 |a Rosso, O.A., Martin, M.T., Plastino, A., (2002) Physica A, 313, p. 587 
504 |a Rosso, O.A., Martin, M.T., Plastino, A., (2003) Physica A, 320, p. 497 
504 |a Rosso, O.A., Blanco, S., Rabinowicz, A., (2003) Signal Processing, 86, p. 1275 
504 |a Rosso, O.A., Martin, M.T., Plastino, A., (2005) Physica A, 347, p. 444 
504 |a Rosso, O.A., Hyslop, W., Gerlach, R., Smith, R.L.L., Hunter, M., Rostas, J., (2005) Physica A, 356, p. 184 
504 |a Rosso, O.A., Martin, M.T., Figliola, A., Keller, K., Plastino, A., (2006) J. Neurosci. Methods, 153, p. 163 
504 |a Rao, C., (1987) IMS-Lectures Notes, 10, p. 217 
504 |a Lin, J., (1991) IEEE Trans. Inf. Theory, 37, p. 145 
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504 |a Endres, D., Schindelin, J., (2003) IEEE Trans. Inf. Theory, 49, p. 1858 
504 |a Gómez Lopera, J.F., Martinez-Aroza, J., Robles-Pérez, A.M., Roldan, R.R., (2000) J. Math. Imaging Vision, 13, p. 35 
504 |a Daubechies, I., (1992) Ten Lectures on Wavelets, , SIAM, Philadelphia 
504 |a Mallat, S., (1999) A wavelet Tour of Signal Processing. second ed., , Academic Press, San Diego 
504 |a Samar, V., Bopardikar, A., Rao, R., Swartz, K., (1999) Brain Language, 66, p. 7 
504 |a Gastaut, H., Broughton, R., (1972) Epileptic Seizures, , Charles C. Thomas, Springfield 
504 |a Gotman, J., Ives, J.R., Gloor, P., (1981) Electroencephalogr. Clin. Neurophysiol., 52, p. 626 
506 |2 openaire  |e Política editorial 
520 3 |a We develop a quantitative method of analysis of EEG records. The method is based on the wavelet analysis of the record and on the capability of the Jensen-Shannon divergence (JSD) to identify dynamical changes in a time series. The JSD is a measure of distance between probability distributions. Therefore for its evaluation it is necessary to define a (time dependent) probability distribution along the record. We define this probability distribution from the wavelet decomposition of the associated time series. The wavelet JSD provides information about dynamical changes in the scales and can be considered a complementary methodology reported earlier [O.A. Rosso, S. Blanco, A. Rabinowicz, Signal Processing 86 (2003) 1275; O.A. Rosso, S. Blanco, J. Yordanova, V. Kolev, A. Figliola, M. Schürmann, E. Başar, J. Neurosci. Methods 105 (2001) 65; O.A. Rosso, M.T. Martin, A. Figliola, K. Keller, A. Plastino, J. Neurosci. Methods 153 (2006) 163]. In the present study we have demonstrated it by analyzing EEG signal of tonic-clonic epileptic seizures applying the JSD method. The display of the JSD curves enables easy comparison of frequency band component dynamics. This would, in turn, promise easy and successful comparison of the EEG records from various scalp locations of the brain. © 2007 Elsevier B.V. All rights reserved.  |l eng 
536 |a Detalles de la financiación: Secretaria de Ciencia y Tecnología - Universidad Nacional de Córdoba 
536 |a Detalles de la financiación: Agencia Nacional de Promoción Científica y Tecnológica, BIO2002-04014-C03-03, PICT 20648/04 
536 |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas, PIP 5687/05, PIP 0029/98 
536 |a Detalles de la financiación: The authors wish to thank A. Rabinowicz of the Instituto de Investigaciones Neurológicas Raúl Carra (FLENI), Argentina, for useful comments and for providing the EEG recordings used in this work. We are grateful to Secretaria de Ciencia y Tecnica de la Universidad Nacional de Córdoba for financial assistance. This work was partially supported by CONICET (PIP 0029/98, PIP 5687/05), Argentina, Agencia Nacional de Promoción Cientifíca y Tecnólogica (PICT 20648/04) Argentina, and by Grant BIO2002-04014-C03-03 from the Spanish Government. 
593 |a Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000 Córdoba, Argentina 
593 |a Chaos and Biology Group, Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Pabellon II, Ciudad Universitaria, 1428 Ciudad Autonoma de Buenos Aires, Argentina 
690 1 0 |a EEG 
690 1 0 |a EPILEPTIC SEIZURE 
690 1 0 |a JENSEN-SHANNON DIVERGENCE 
690 1 0 |a WAVELETS ANALYSIS 
690 1 0 |a ELECTROENCEPHALOGRAPHY 
690 1 0 |a PROBABILITY DISTRIBUTIONS 
690 1 0 |a STATISTICAL MECHANICS 
690 1 0 |a TIME SERIES ANALYSIS 
690 1 0 |a WAVELET TRANSFORMS 
690 1 0 |a EPILEPTIC SEIZURE 
690 1 0 |a FREQUENCY BAND COMPONENT DYNAMICS 
690 1 0 |a JENSEN SHANNON DIVERGENCE 
690 1 0 |a WAVELETS ANALYSIS 
690 1 0 |a FREQUENCY BANDS 
700 1 |a Lamberti, Pedro Walter 
700 1 |a Rosso, O.A. 
773 0 |d 2007  |g v. 379  |h pp. 122-132  |k n. 1  |p Phys A Stat Mech Appl  |x 03784371  |w (AR-BaUEN)CENRE-280  |t Physica A: Statistical Mechanics and its Applications 
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856 4 0 |u https://doi.org/10.1016/j.physa.2006.12.051  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_03784371_v379_n1_p122_Pereyra  |y Handle 
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