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本文修改了O′connor等提出的参考模型法,提出了衰减谐振模型来分析诱发电位。本模型的神经生理基础是基于Freeman和Basar等的工作。本模型的参数检测算法分两步:(1)利用改进的后向予测滤波和多项式求根求出各分量波形的频率f和指数衰减包络的时间常数1/β,并构造出谐振衰减分量。(2)利用衰减谐振分量做为匹配滤波器的冲击响应,再利用匹配滤波器检测出各分量的相移t_z;由最小均方误差拟合求出各分量的幅值A。文中列举了三个形状不同的典型视觉模式诱发电位波形的分析及波形重构,信号误差指数小于0.06。由本方法得到的特征参数重构波形的形状与原始诱发电位波形一致.并保持主要峰值潜伏期基本不变.
This paper modifies the reference model method proposed by O’connor et al. And proposes a decaying resonance model to analyze the evoked potential. The neurophysiological basis of this model is based on the work of Freeman and Basar et al. The model parameter detection algorithm is divided into two steps: (1) using the improved backward predictive filtering and polynomial roots to obtain the frequency of each component waveform f and the exponential decay envelope time constant 1 / β, and to construct the resonant attenuation Component. (2) Using the attenuated resonance component as the impulse response of the matched filter, the matched filter is used to detect the phase shift t_z of each component; and the amplitude A of each component is obtained by fitting the minimum mean square error. In this paper, three typical visual modes evoked potential waveforms and waveform reconstruction are listed. The signal error index is less than 0.06. The shape of the reconstructed waveform obtained by this method is consistent with that of the original evoked potential and keeps the main peak latency unchanged.