中文摘要：

目的：利用计算机仿真人体脑电背景信号和人视觉诱发电位信号，验证基于自参考、自相关、自适应干扰对消理论（AAA-ICM）的诱发电位单次提取新方法。材料与方法：用Delphi语言编程仿真脑电背景信号与视觉闪光诱发电位信号，实现AAA—ICM算法提取诱发电位信号，用信号的功率值及相关系数衡量提取效果。结果：仿真结果表明使用该方法，可以从带有强的自发脑电干扰信号中单次提取出诱发电位信号。结论：与传统的叠加平均提取方法相比，简化了提取方法。改善了提取质量。

英文摘要：

Objective： A new single trial estimation of evoked potential, which based on auto-reference, auto-correlation, auto-adaptive interference cancellation method （AAA-ICM）,was proved in this paper by the computer simulation of electroencephalo-signal and flash visual evoked potential （FVEP）. Material and Method： The electroencephalo-signal and FVEP were simulated by Delphi program, And the program of extracting VEP by AAA-ICM algorithm was implemented. The extraction effect was measured by the power value and correlation value. Results： The stimulation results showed that evoked potential could be extracted from strong background brain activity, Conclusion： Contrast to the traditional superposition averaging method, it can simplify extraction method and improve quality of EP.