基于EMD的多带滤波器去除脉搏基线漂移  

Removing Pulse Baseline Wander by Multi-band Filter Bank Based on EMD

作　　者：王瑞卿[1] 张迎春[2] 魏守水[1] 彭翠平[1] 

机构地区：[1]山东大学控制科学与工程学院,济南250061 [2]山东轻工业学院电子信息与控制工程学院,济南250353

出　　处：《数据采集与处理》2009年第3期380-385,共6页Journal of Data Acquisition and Processing

基　　金：山东省优秀中青年科学家奖励基金(2004BS05006)资助项目

摘　　要：脉搏信号分析是中医客观化研究的一个重要组成部分,高质量的脉搏信号又是脉搏信号分析的基础,但是脉搏信号往往含有基线漂移的低频成分。本文根据基线信号的特点和固有模态函数(IMF)的性质,提出了一种基于经验模态分解(EMD)的多带滤波体系去除脉搏基线漂移的新方法。另外,对该方法进行了仿真实验,并且与其他几种滤波方法(形态滤波、时变滤波和样条估计)进行了定量的比较,实验数据表明本文提出的方法对于去除脉搏基线漂移有较好的效果。The analysis of pulse signal plays a vital role in the objectivization of Chinese traditional medical research （CTMR）, and good quality pulse signals are the foundation of signal analysis, but pulse recordings are always affected by baseline wander. Consequently, a new baseline wander removing method is proposed based on the empirical mode decomposition （EMD）. According to the properties of pulse signal and intrinsic mode function （IMF）, the new algorithm constructs a multi-band filtering scheme. Simulation experiments are conducted to evaluate its validity in quantitative comparison with morphology filter, time variant filter and spline estimation. Experimental results show that the proposed algorithm is effective in removing pulse baseline wander.

关 键 词：中医客观化 基线漂移 经验模态分解 

分 类 号：R318.6[医药卫生—生物医学工程]