基于经验模态分解的间接心电去噪  

Mode-based ECG indirect denoising using empirical mode decomposition

作　　者：聂文仲[1] 黄华[1] 陶治江[1] 

机构地区：[1]四川大学电气信息学院,成都610065

出　　处：《四川大学学报（自然科学版）》2011年第6期1329-1333,共5页Journal of Sichuan University(Natural Science Edition)

摘　　要：提出了一种基于心电图(ECG)动态模型和经验模式分解(EMD)的新颖心电间接去噪方法.通过设计一个心电信号模型对噪声ECG进行预滤波处理,为了保持重要的形态特征,尤其是QRS群波,从噪声ECG信号中减去这个模型,用EMD分解残存下来的信号,并且抛弃分解结果中的噪声成分达到去噪.最后,通过把模型和无噪的残余信号叠加起来获得无噪ECG波形.A novel scheme for Electrocardiogram （ECG） indirect denoising is presented based on ECG dynamic model and Empirical mode decomposition （EMD） in the paper. First, we pre-filter the noisy ECG by making the mode fit it, in order to preserve the important morphologic features, especially the QRS complex. Then, the model is subtracted from the noisy ECG, and the residual signal is decomposed with EMD and denoised by discarding the noise components from the decomposition results. Finally, the resultant ECG is obtained by combining the model and the denoised residue.

关 键 词：心电图(ECG) 动态模型 经验模式分解(EMD) QRS群波 

分 类 号：TN911.72[电子电信—通信与信息系统]