Single-trial extraction of event-related potentials based on discrete stationary wavelet and independent component analysis
Rui Zhang · Mechanical & Electrical Engineering Magazine · 2009
It is very difficult to extract event-related potentials(ERP) from spontaneous rhythms under quite a low S/N ratio.Discrete stationary wavelet transformation combined with independent component analysis(ICA) was proposed to remove noises and extract event-related potential.Firstly,ERP was decomposed by discrete stationary wavelet transformation,multi-scale signals were selected.Wavelet coefficients that combined with high-frequency noises were removed.Then all wavelet coefficients were connected to perform ICA.The simulation results show that,compared with traditional averaging method,the method can simplify extraction.It also achieves a faster convergence than simple ICA method.