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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© 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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