Wan Xiangkui, Qin Shuren, Liang Xiaorong, Ding Jianping
Test Center of Mechanical Engineering College, Chongqing University, Chongqing 400030, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Aug;23(4):722-5.
According to the characteristics of four basic P morphologies, combining the wavelet transform and the amplitude and slope of transformed P wave, a new P-wave detecting method based on "wavelet-amplitude-slope" algorithm is presented: First search out all modulus maximum pairs to satisfy the threshold after wavelet transform, and then applying the amplitude and slope criterion exclude the interferes and detect the P peak and its shape, last determine the onset and end of P wave respectively which should be separately calculated for single-peak and double-peak P wave (or biphasic P wave). The approach is applied in experiments of data from MIT/BIH database and randomly collected data of clinical ECG. The experimental statistical results shows that the correct detecting rate is as high as 96% compared to manual annotation.
根据四种基本P波形态的特征,结合小波变换以及变换后P波的幅度和斜率,提出了一种基于“小波-幅度-斜率”算法的新型P波检测方法:首先在小波变换后找出所有满足阈值的模极大值对,然后应用幅度和斜率准则排除干扰并检测P波峰值及其形态,最后分别确定单峰和双峰P波(或双相P波)的P波起始点和终点。该方法应用于来自MIT/BIH数据库的数据实验以及随机收集的临床心电图数据。实验统计结果表明,与人工标注相比,正确检测率高达96%。