【摘要】 在脑电信号(EEG)处理中常采用一种时域、频域结合起来分析脑电信号的方法——Wigner分布法,但其存在分布交叉项问题。就此问题,本文用模糊滤波处理软件来处理脑电信号,运用模糊推断对大干扰采用强抑制、小干扰采用弱抑制的方法,来实现更好的滤波方式,达到有效剔除复杂脑电信息中的噪声,为脑电的时域分析提供更加直观、清晰的脑电波形,从而为临床提供更加准确可靠的原始依据。更多还原

【Abstract】 With Wigner distribution,EEG can be analyzed more all-sidedlly and comprehensively.However,in time-frequency and spectrum-frequency of EEG processing,it has a disadvantage of cross-terms.For the cross-terms with Wigner distribution,we used a processing soft ware for ambivalent filter.We also consider the used of fuzzy supposition,if a large interferences is restrained powerfully and a small interferences is nay.This motheds can eliminate the noise of EEG validly,and acquire the more distinct EEG for time-frequency analysis,so provide more exact original date for clinical.更多还原