ELECTROMAGNETIC PHENOMENA   2006, Vol.6, No.2(17)  224-228

 

PACS №: 87.19.La; 87.10.+e

J.P. Treviño1, V.H. Castillo1, H.C. Rosu1, J.L. Morán López1, and J.S. Murguía2

1IPICyT - Instituto Potosino de Investigación
Científica y Tecnológica,
Apdo Postal 3-74 Tangamanga,
78231 San Luis Potosi, S.L.P., México
2Department of Mathematics and Physical Sciences,
Universidad Autónoma de San Luis Potosí,
87545 San Luis Potosí, S.L.P., México
e-mail: jpablo@ipicyt.edu.mx
e-mail: vcastillo@ipicyt.edu.mx
e-mail: hcr@ipicyt.edu.mx
e-mail: moran@ipicyt.edu.mx
e-mail: ondeleto@uaslp.mx

Niederhauser's Model for Epilepsy and Wavelet Methods

Abstract

Wavelets and wavelet transforms (WT) could be a very useful tool to analyze electroencephalogram (EEG) signals. To illustrate the WT method we make use of a simple electric circuit model introduced by Niederhauser [1], which is used to produce EEG-like signals, particularly during an epileptic seizure. The original model is modified to resemble the 10--20 derivation of the EEG measurements. WT is used to study the main features of these signals.

 
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