CAJ | 학술논문

利用可实现对任意阶多元多项式超曲面的无差逼近的、基于离散泰勒级数的高阶联想记忆系统（DTS-AMS），对（本系列文章之一中所得）自发脑电（EEG）信号错相叠加平均后的残余信号进行建模和外推估计．数字仿真结果表明，此法通过十次左右的视觉刺激，即可将视觉诱发脑电（VEP）信号从EEG信号中分离出来，所得VEP信号潜伏期P100精度可满足一般临床诊断要求．
이용가실현대임의계다원다항식초곡면적무차핍근적、기우리산태륵급수적고계련상기억계통（DTS-AMS），대（본계렬문장지일중소득）자발뇌전（EEG）신호착상첩가평균후적잔여신호진행건모화외추고계．수자방진결과표명，차법통과십차좌우적시각자격，즉가장시각유발뇌전（VEP）신호종EEG신호중분리출래，소득VEP신호잠복기P100정도가만족일반림상진단요구．
Utilizing 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 Electroencephalogram(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．