基于AAA-ICM技术的视觉闪光诱发电位单次提取新方法的仿真研究

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。

A New Single Trial Estimation of Evoked Potential Based on AAA-ICM

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.