摘要
脑电信号在采集过程中极易受到噪声的干扰,如何有效地去除混入脑电信号中的噪声已经成为信号前期处理的难点。根据脑电信号和噪声的特点,使用HHT方法去除脑电信号中的工频噪声,并通过信噪比和均方误差对去噪效果进行了检测。仿真结果表明该方法不仅能够有效地抑制工频噪声,还可以较好地保持脑电信号的波形特征。
Electroencephalograph （EEG） signals wereacquisition process. How to effectively remove the noises usually interfered by noises during signalin the EEG signals recording has become thedifficult point in the early stage of the signal processing. Based on the characteristics of EEG signal andnoise, using the Hilbert-Huang transform removes power frequency noise, and the de-noising effects weretested by signal to noise ratio（SNR） and meansquared error（MSE）. The experimental results show thatthis approach not only can effectively restrain the power frequency noise, but also is able to keep theshape feature of the EEG signal unchanged.
出处
《信息技术》
2014年第7期81-83,共3页
Information Technology
基金
宝鸡文理学院校级重点项目资助(ZK12108)
关键词
希尔伯特-黄变换
去噪
脑电
经验模态分解
Hilbert-Huang transform
de-noising
electroencephalograph （EEG）
empirical modedecomposition
