Seizure detection using parameter estimation and Morlet wavelet transform

Abstract

The EEG signals prove to be an efficient tool in analyzing Epileptic seizure. The parameters like mean, standard deviation and their confidence interval of the seizure EEG signal are compared with the normal EEG signal. The seizure EEG signals have higher values of parameter estimates when compared to the normal EEG signals. In this paper Morlet wavelet transform is also performed on the EEG signals. Significant variations are observed in the Morlet coefficient of the seizure EEG when compared to the normal EEG signal. © 2012 Springer-Verlag.