基于能量分段与平稳小波变换的运动心电图特征波检测算法研究  

Research on the detection algorithm of electrocardiogram characteristic wave based on energy segmentation and stationary wavelet transform

作　　者：刘近贞[1,2] 孙利飞 熊慧[1,2] 梁美玲 LIU Jinzhen;SUN Lifei;XIONG Hui;LIANG Meiling(School of Electrical Engineering and Automation,TianGong University,Tianjin 300387,P.R.China;Tianjin Key Laboratory of Intelligent Control of Electrical Equipment,TianGong University,Tianjin 300387,P.R.China;Beijing Zhaoyi Innovation Technology Co.,Ltd,Beijing 100088,P.R.China)

机构地区：[1]天津工业大学控制科学与工程学院,天津300387 [2]天津工业大学天津市电气装备智能控制重点实验室,天津300387 [3]北京兆易创新科技股份有限公司,北京100088

出　　处：《生物医学工程学杂志》2021年第6期1181-1192,共12页Journal of Biomedical Engineering

基　　金：天津市教委科研计划项目(2019KJ014)。

摘　　要：心电图(ECG)的特征波检测是心血管疾病分析与心率变异性分析的基础,为解决运动状态下ECG信号特征波检测准确率低、实时性差的问题,本文提出了一种基于分段能量与平稳小波变换(SWT)的运动ECG信号特征波检测算法。首先,分段计算ECG信号的能量,使用移动平均获得能量阈值后,得到能量候选波以检测QRS波;其次,将QRS幅值置零,利用SWT的第五分量定位P波和T波。实验结果表明,同其它算法相比,本文算法对不同运动状态下的QRS波检测的准确率高,且对1条30 min的ECG信号记录进行QRS波检测仅需0.22 s,实时性也有明显提高。在QRS波检测的基础上,对P波和T波检测的准确率均高于95%,从而表明该方法能够提高运动ECG信号特征波检测的效率,为运动状态下ECG信号的实时分类和心血管疾病的实时诊断提供一种新方法。The detection of electrocardiogram(ECG)characteristic wave is the basis of cardiovascular disease analysis and heart rate variability analysis.In order to solve the problems of low detection accuracy and poor real-time performance of ECG signal in the state of motion,this paper proposes a detection algorithm based on segmentation energy and stationary wavelet transform(SWT).Firstly,the energy of ECG signal is calculated by segmenting,and the energy candidate peak is obtained after moving average to detect QRS complex.Secondly,the QRS amplitude is set to zero and the fifth component of SWT is used to locate P wave and T wave.The experimental results show that compared with other algorithms,the algorithm in this paper has high accuracy in detecting QRS complex in different motion states.It only takes 0.22 s to detect QSR complex of a 30-minute ECG record,and the real-time performance is improved obviously.On the basis of QRS complex detection,the accuracy of P wave and T wave detection is higher than 95%.The results show that this method can improve the efficiency of ECG signal detection,and provide a new method for real-time ECG signal classification and cardiovascular disease diagnosis.

关 键 词：运动心电信号 QRS波检测 能量分段 平稳小波变换 

分 类 号：TN911.7[电子电信—通信与信息系统] R540.41[电子电信—信息与通信工程]