Title :
Optimum Filters for Estimating Evoked Potential Waveforms
Author :
Yu, Kai-bor ; Gillem, Clare D Mc
Author_Institution :
Department of Electrical Engineering, Virginia Polytechnic Institute and State University
Abstract :
The design of time-invariant and time-varying minimum mean square error filters for processing event related brain potentials is considered. A model for taking into account the randomness associated with the signal as well as that of the noise is described. Results using simulated data show the perfonnance of the time-varying filter to be greatly superior to that of the time-invariant filter. Results of processing measured visual evoked potentials are presented.
Keywords :
Acoustic noise; Area measurement; Enterprise resource planning; Least squares approximation; Mean square error methods; Nonlinear filters; Position measurement; Signal processing; Signal to noise ratio; Wiener filter; Biomedical Engineering; Electroencephalography; Evoked Potentials; Mathematics;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1983.325187
