Extrapolation of the Electroencephalogram Residual Via DTS-AMS Type Neural Network

Utilizings the higher-oder associative memory system via discrete Talor series (DTS-AMS) which can make an error-free approximation to the multi-variable polynomial function with arbitrary order, this paper realizes the modeling and extrapolation of the EIectroencephalogram(EEG) residual signal obtained from the phase-shifting and superposition. Numerical simulation results have shown that, through about only 10 times of visual stimulation, the Visual Evoked Potential(VEP) can be extracted from the EEG background with a satisfactory identification accuracy of the latency parameter P100 for the clinical use.