Novel Time-frequency Analysis and Representation of EEG

INTRODUCTION　　 Electroencephalograpm ( EEG) signals are fundamental forthe clinical diagnosisof patients with neural system diseases especially epilepsy disease.The accurate di-agnosis of the disease types and choices of medicine and therapeutic plan need to pro-cess a large amountof EEG data.In order to reserve and extractthe mostof charac-teristic of EEG signals,it is important to build an accurate EEG model for furtherdiscrimination,compression,storage,and searching.Nowadays mul…

Novel Time-frequency Analysis and Representation of EEG

A novel method of EEG time-frequency analysis and representation based on a wavelet network is presented. The wavelet network model can represent the EEG data effectively. Based on the wavelet network model, a novel time-frequency energy distribution function is obtained, which has the same time-frequency resolution as Wigner-Ville distribution and is free of cross-term interference. There is a great potential for the use of the novel time-frequency representation of nonstationary biosignal based on a wavelet network in the field of the electrophysiological signal processing and time-frequency analysis.