基于形态学消除心电信号基线漂移方法的研究  

ECG baseline drift elimination based on morphology

作　　者：徐万松 陈天武 XU Wansong;CHEN Tianwu(Medical Imaging Department,North Sichuan Medical College,Nanchong,Sichuan 637000,China)

机构地区：[1]川北医学院医学影像学院,四川南充637000

出　　处：《中国医学工程》2019年第9期8-12,共5页China Medical Engineering

基　　金：川北医学院2017年度校级科研发展计划项目(CBY17-A-YB42)。

摘　　要：目的去基线漂移是心电信号(ECG)处理中一个重要步骤,文章研究了一种利用形态学滤波的手段去除ECG信号中的基线漂移的方法。方法利用形态滤波的方法,根据心电信号中各特征波形的时间宽度,选择不同尺寸的结构元素对含基线漂移ECG信号进行滤波处理,去除特征波形初步还原得到基线漂移信号;再用原始ECG信号减去经平滑处理后的基线漂移信号,从而去除基线漂移。结果在Matlab平台上经过MIT-BIH数据库中实际ECG信号的验证,去基线漂移效果较好。结论基于形态学的方法消除ECG信号中的基线漂移,算法计算简单、实时性好,去除基线漂移效果好,实用性强。【Objective】Baseline drift removal is an important step in electrocardiogram(ECG)processing.A method of removing baseline drift from ECG signal by morphological filtering is studied in this paper.【Methods】According to the time width of each characteristic wave form in ECG signal,different size structural elements were selected to filter ECG signal with base drift,and then the original ECG signal was subtracted from the smoothed baseline drift signal to remove the baseline drift.【Results】The actual ECG signals in MIT-BIH database were validated on the platform of Matlab,and the effect of baseline drift removal was better.【Conclusion】The method based on morphology can eliminate baseline drift in ECG signal.The algorithm is simple,real-time,effective and practical.

关 键 词：形态滤波 心电信号 基线漂移 特征波形 

分 类 号：R318[医药卫生—生物医学工程] TN911.7[医药卫生—基础医学]