Abstract
Noisy signals obtained during a tonic-clonic epileptic seizure, are usually neglected for visual inspection by the physicians due to the presence of muscle artifacts. Although noise obscures completely the recording, information about the underlying brain activity can be obtained by filtering, through the Orthogonal Wavelet Transforms, those frequencies bands associated with muscle activity. After generating a “noise free” signal by removing the muscle artifacts with wavelets, a dynamical analysis of the brain behavior will be performed by using nonlinear dynamics methods. The values for nonlinear metric invariants, like the correlation dimension and the maximum Lyapunov exponent, confirm that the brain dynamical behavior is more ordered during the epileptic seizure than pre-seizure stage.
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References
A. Aldroubi and M. Unser (edt). Wavelets in Medicine and Biology, CRC Press, Boca Raton, 1996.
E. P. Serrano and M. Fabio. Undecimated wavelet transform from orthogonal spline wavelets, in Wavelet Theory and Harmonic Analysis in Applied Sciences, E. M. Fernandez-Berdaguer and C. E. D’Attellis (edt), Birkhouser Publishers, 1997, p. 33–72.
S. Blanco, H. García, R. Quian Quiroga, L. Romanelli and O. A. Rosso. Stationarity of the EEG series, IEEE Eng. Med. and Biol. 14 (1995) 395–399.
M. T. Rossestein, J. J. Collins and C. J. De Luca. Reconstruction expansion as a geometry-based framework for choosing proper delay times, Physica D 73 (1994) 82–98.
H. D. I. Abarbanel, R. Brown, J. J. Sidorowich and L. S. Tsimring. The analysis of observed chaotic data in physical systems, Rev. Mod. Phys. 65 (1993) 1331–1392.
M. T. Rossestein, J. J. Collins and C. J. De Luca. A practical method for calculating largest Lyapunov exponents from small data sets, Physica D 65 (1993) 117–134.
J. P. Eckmann and D. Ruelle. Fundamental limitations for dimensions and Lyapunov exponents in dynamical systems, Physica D 56 (1992) 185–187.
S. Blanco, A. Figliola, R. Quian Quiroga, O. A. Rosso and E. Serrano. Timefrequency analysis of electroencephalogram series (III): Wavelet Packets and Information Cost Function, Phys. Rev. E 57 (1998) 932–940.
S. Blanco, R. Quian Quiroga, O. A. Rosso and S. Kochen. Time-Frequency analysis of electroencephalogram series, Phys. Rev. E 51 (1995) 2624–2631.
S. Blanco, S. Kochen, R. Quian Quiroga, L. Riquelme, O. A. Rosso and P. Salgado (1997). Characterization of epileptic EEG time series (I): Gabor Transform and nonlinear dynamics methods, in Wavelet Theory and Harmonic Analysis in Applied Sciences, E. M. Fernandez-Berdaguer and C. E. D’Attellis (edt), Birkhouser Publishers, 1997, p. 179–226.
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© 2004 Kluwer Academic Publishers
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Blanco, S.A., Creso, J., Figliola, A., Quiroga, R.Q., Rosso, O.A. (2004). Nonlinear Dynamic Analysis of Scalp EEG Epileptic Signals. In: Descalzi, O., Martínez, J., Tirapegui, E. (eds) Instabilities and Nonequilibrium Structures VII & VIII. Nonlinear Phenomena and Complex Systems, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2149-7_8
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DOI: https://doi.org/10.1007/978-1-4020-2149-7_8
Publisher Name: Springer, Dordrecht
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