【摘要】 在深入分析脑电信号各伪迹成分特征的基础上,结合传统滤波方法,提出了一种不需要眼电信号参考的脑电信号伪迹去除方法。脑电信号原始数据可视作由纯净脑电信号、环境噪声、动作杂波及人体自身伪迹成分所构成的混合信号,利用传统滤波方法去除环境噪声及动作杂波,结合盲源分离算法提取人体自身伪迹成分并完成伪迹成分自动识别与去除以及纯净脑电信号的重构工作,以实现纯净脑电信号有效提取过程。经实验验证,该无先验参考的脑电信号伪迹去除方法切实可行,可有效去除伪迹,提高脑电信号信噪比。更多还原

【Abstract】 Focusing on the problems that original EEG data has low signal-to-noise ratio and great number of artifacts,as well as some EEG acquisition equipment are not installed with EOG epoch,this paper put forward a new artifacts removal method for EEG without EOG reference,which combined with the traditional filtering method and was based on an in-depth analysis of artifacts’ feature.The original EEG data could be regarded as a mixture of pure EEG,environmental noise,motion activity,and body artifacts.The environmental noise and motion activities could be removed by traditional filtering method;the body artifacts could be extracted by blind source separation method.After automatic identification,removal and reconstruction work,pure EEG extraction was realized.Experimental results showed that the proposed method was feasible and effective,and could effectively remove artifacts and improve the signal to noise ratio of EEG signals.更多还原