ABSTRACT
Epileptic seizures manifest themselves as abnormalities in electroencephalo-
grams (EEGs) and are characterized by brief and episodic neuronal syn-
chronous discharges with dramatically increased amplitude. In partial seizures,
this anomalous synchrony occurs in the brain locally and is observed only in
a few channels of the EEG. In generalized seizures the entire brain is involved
and the discharges can be observed in every channel of the EEG. Wavelet
transforms are an effective time-frequency analysis tool for analyzing such
transient non-stationary signals. In this chapter, the applicability of wavelet
transforms is demonstrated for the analysis of epileptiform discharges in EEGs
of subjects with absence seizure. The excellent feature extraction and rep-
resentation properties of wavelet transforms are used to analyze individual
transient events such as the 3-Hz spike and slow wave complex.
