基于EMD方法的心电信号带内噪声滤除

发布时间：2018-02-03 12:37

  本文关键词： 经验模态分解(EMD) 心电信号(ECG) 去噪 本征模态函数(IMF)　出处：《天津工业大学学报》2014年04期 　论文类型：期刊论文

【摘要】：为解决心电信号去噪过程中有用信号被削减的问题,提出了基于经验模态分解(EMD)滤除心电信号带内噪声的方法.该方法用EMD方法处理含噪分量,保持有用信号的功率基本不变,大大消弱噪声的功率,达到去噪目的.实验表明:与传统EMD阈值滤波相比,该方法在滤除噪声的同时能保留真实信号的完整性,证实了该算法对低信噪比微弱信号带内噪声滤除的有效性.
[Abstract]:In order to solve the problem that useful signals are reduced in the process of ECG de-noising, a method based on empirical mode decomposition (EMD) to filter the in-band noise of ECG signals is proposed. The method uses EMD method to deal with noise-containing components. Keeping the power of the useful signal basically unchanged, greatly reducing the power of noise to achieve the purpose of de-noising. The experimental results show that: compared with the traditional EMD threshold filter. This method can not only filter noise but also preserve the integrity of real signal. It is proved that the algorithm is effective for the in-band noise filtering of low signal-to-noise ratio (SNR) weak signals.
【作者单位】： 天津工业大学电气工程与自动化学院;
【基金】：天津市自然科学基金资助项目(10JCYBJC07400)
【分类号】：TN911.7;R318.5
【正文快照】： 心电信号(Electrocardiogram,ECG)是心脏的电活动在体表的表现,包含着人体大量的生理或病理信息,是一种重要的生物电信号.心电信号又是一种低幅值、低频率、低信噪比同时伴随着各种干扰的随机性很强的非线性、非平稳信号,且噪声与心电信号存在时频重叠[1],致使心电信号的滤波，

本文编号：1487405