The non-stationary of evoked potential tracked by ICA and WT

This paper promotes a method to track the non-stationary of evoked potential's amplitude during the electroencephalograph recording by the application of independent component analysis and wavelet transform. With the aid of the spatial information and multi-trial recording, the signal-to-noise ratio is improved greatly enough to quantitatively evaluate how the evoked potential's amplitude varies across the trials. The result on real auditory evoked potential shows a drop of about 40% on the amplitude of evoked potential during 10 minutes recording. The present work is helpful to study the uncertainty and singularity of evoked potential. Furthermore, it will put forward the reasonable experiment design of evoked potential extraction.