Improved Parameter Estimation Of Steady-state Visual Evoked Potentials
Yu Tang, Anthony Matthew Norcia · 2005
In this paper a new method is suggested to estimate the parameters of steady-state Visual Evoked Potentials (SVEP) in the time domain. The algorithm consists of three steps: nonphase-shift bandpass filtering, calculation the mean filter of forward and backward predictors and linear regression. Two simulations for white noise and EEG activity show a 4-5 db improvement in the estimate of the mean resultant length of SVEP by the new method compared to the DFT method.