北京生物医学工程

基于二次样条小波的P波检测方法

A New Algorithm of P-wave Detection Using Quadratic Spline Wavelet

作者：廖云朋刘曼

单位：深圳市理邦精密仪器有限公司（广东深圳518067）

关键词：二次样条小波；心电图；P波检测

分类号：

出版年·卷·期（页码）：2010·29·3（266-269）

摘要：

为了能够准确地检测P波，本文应用二次样条小波变换的方法，在特定的分解尺度上，寻找QRS波前搜索窗内的极值对信息，再在极值对之间寻找极值点即为P波的顶点，最后根据P波的顶点位置，在其左右利用局部变换的方法实现对起止点的最终定位。二次样条小波变化的方法，能够很好地避开漂移、高频等噪声的干扰。利用CSE标准数据库定量的衡量P波检测的准确度，平均偏差为-0.7ms，标准偏差为7.7ms，大大提高了P波定位的准确性，为心电图自动分析的准确性提供了保障。

In order to detect P-wave accurately, this paper adopts the method of quadratic spline wavelet to detect the P-wave. Firstly，we selected one wavelet scale, and found the pair of maximum-minimum within the search window on that scale in QRS wave. And then we decided the peak of P-wave between the pair. Lastly, using the partial transformation method in P-wave’s left and right, we located the onset and offset of the P-wave according to the peak position. The algorithm of quadratic spline wavelet may reduce the disturbance from the baseline drift and the high frequency. The performance quantitative analyzed by the CSE database was showed with the result of averaged difference being -0.7ms and the standard deviation being 7.7ms. The algorithm improves the detection veracity, and ensures the analysis and interpretation of ECG.

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