Abstract

Evoked Potentials (EP) or Event Related Potentials (ERP) is the potential developed in the body due to the application of external stimulus. The stimulus can be visual or auditory or sensual accordingly they are called Visual Evoked Potential (VEP), Auditory Evoked Potential (AEP) Somata Sensory Evoked Potential (SEP). These evoked potentials are embedded in the Electroencephalogram (EEG) signals and have very low amplitude. The proposed approach focuses to use Complex Wavelet Transform technique to estimate VEP by developing an algorithm in which wavelets will improve the SNR compared to the conventional techniques, overcomes the existing problem of removal of background noise from Evoked potential, is Shift Invariant and will preserve the notion of phase of the transformed coefficients by choosing an appropriate Thresholding method which is critical in EP Reconstruction and Estimation.