Detection the Character Wave in Epileptic EEG by Wavelet

Human epilepsy is an intrinsic brain pathology, which can be characterized by repetitive high-amplitude electroencephalograph (EEG) activity. The wavelet transform provides an important tool in signal analysis and feature extraction. In this paper, the modulus maximum pair of a wavelet transform is used to detect the singularity value of the sharps and the spikes embedded in the background activities of the epilepsy EEG. The efficacy of the proposed method has been tested with clinical EEG.