基于Hilbert-Huang变换的ECG消噪  

ECG De-noising Based on Hilbert-Huang Transform

作　　者：杨向林[1] 严洪[1] 许志[1] 任兆瑞[1] 宋晋忠[1] 姚宇华[1] 李延军[1] 

机构地区：[1]中国航天员科研训练中心,北京100094

出　　处：《电子学报》2011年第4期819-824,共6页Acta Electronica Sinica

基　　金：中国航天医学工程预先研究项目(No.SJ200903;No.SJ201006)

摘　　要：提出一种基于Hilbert-Huang变换的ECG消噪方法,该方法对含噪ECG进行经验模态分解,对分解后的IMF进行Hilbert频谱分析,然后根据ECG信号噪声特点对三种主要噪声分别消噪.工频干扰和高频噪声主要存在于ECG的低阶IMF中,而基线漂移主要存在于ECG的高阶IMF中,对低阶IMF采用基于自适应阈值的形态学滤波方法进行消噪,对高阶IMF采用平滑滤波法进行基线漂移估计.仿真实验和实际应用结果表明该方法优于小波消噪法,不仅对三种主要噪声具有较好的抑制作用,还能很好的保留ECG波形特征.A method for ECG de-noising based on Hilbert-Huang Transform has been proposed.ECG was analyzed by the Hilbert spectrum of the IMF,which was produced by the Empirical mode decomposition method.The three main noises were respectively removed according to the characteristics of noises.Power line interference and high frequency noises were mainly mixed into the low IMF of ECG,while baseline wander noises were mainly mixed into the high IMF.The morphological filter method based on adaptive threshold was used in the low IMF for de-noising,while baseline wander was estimated by the smooth filter in the high IMF of ECG.The results of simulation experiment and practical application demonstrate that the method proposed in this paper performs better than wavelet de-noising method significantly,not only in suppressing the three mainly noises effectively,but also in preserving the primary characteristics of ECG signal.

关 键 词：HILBERT-HUANG变换 经验模态分解 固有模态函数 心电图 消噪 形态学滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]