心电信号ST段形态识别算法  

Shape recognition algorithm for ST-segment of ECG signal

作　　者：汪振兴[1] 张思杰[1] 曾孝平[1] 

机构地区：[1]重庆大学通信工程学院,重庆400044

出　　处：《计算机应用》2011年第10期2811-2813,2817,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60971016)

摘　　要：针对目前心电图ST段诊断准确度不高,容易受到噪声干扰的情况,提出了一种基于最小二乘多项式拟合的ST段形态识别算法。首先利用二次样条小波经过Mallat算法检测出心电信号中的QRS波群,然后检测出T波、QRS波群起点、J点、T波起点等特征点,依此判断ST段偏移方向,并将ST段分为直线型和曲线形,最后通过多项式拟合算法来确定直线型ST段的斜率和曲线型ST段的凹凸方向。通过MIT-BIH心电数据库的数据文件的仿真实验验证了该算法用于ST段形态识别的准确度在90%以上,实验表明,该算法减少了ST段特征点检测过程中噪声的干扰,提高了ST段形态识别的准确度。Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment,a ST-segment detection algorithm based on least-square polynomial fitting was proposed.Firstly QRS complex was detected by dyadic spline wavelet through Mallat algorithm,then the characteristic points such as T wave,onset of QRS complex,J point,onset of T wave were detected.These characteristic points were used to judge the direction of ST-segment,and then the ST-segment was classified into line type and curve type,finally the slope of line type ST segment and concavo-convex direction of curve type ST-segment were determined through using polynomial fitting algorithm.This algorithm was certified by the simulation experiment on the signals of MIT-BIH database,and the accuracy of ST-segment shape recognition was more than 90%.The experimental results show that the algorithm reduces the noise interference of characteristic detection of ST-segment,and improves the accuracy of ST-segment detection.

关 键 词：QRS波群 ST段 小波 特征参数提取 最小二乘多项式拟合 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]