QRS波群检测中的二次B样条小波变换算法  

QRS complexes detection using quadratic b-spline wavelet transform algorithm

作　　者：张思杰[1] 汪振兴[1] 张健[1,2] 曾孝平[1] 彭承琳[3] 郭兴明[3] 

机构地区：[1]重庆大学通信工程学院,重庆400044 [2]武警海南总队司令部,海口570203 [3]重庆大学生物工程学院,重庆400044

出　　处：《重庆大学学报（自然科学版）》2012年第4期88-93,共6页Journal of Chongqing University

基　　金：国家自然科学基金资助项目(60971016)

摘　　要：针对目前心电信号检测中准确度不高以及适应性不强的问题,提出了一种基于二次B样条小波,结合二分搜索算法和圆弧逼近曲线算法的QRS波群检测算法。首先对心电信号用二次B样条小波经Mallat算法分解,在二分搜索法调整阈值和模极大值检测R波的基础上,再用基于最小二乘圆弧逼近曲线算法检测T波与P波。最后用MIT-BIH数据库的数据验证了该改进算法增强了R波检测的适应能力,提高了T波与P波的检测准确度。仿真实验表明该改进算法可以有效地提高心电信号自动检测能力。Aiming at the low accuracy and low adaptability of wave detection, a QRS complexes detection algorithm is proposed based on quadratic b-spline wavelet, while combined with binary search algorithm and arc approximating curve algorithm. The signal is decomposed with quadratic b spline wavelet through Mallat algorithm and the R wave is detected by adjusting the threshold with binary search and modulus maximumizing. The T wave and P wave are detected by using arc approximating curve algorithm based on the least square. This algorithm is certified with the ECG signals from MIT-BIH database and is demonstrated that the algorithm enhanced the adaptability of R wave detection and improved the accuracy of T wave and P wave detection. The simulation experiment shows that the improved algorithm can effectively improve the automatic detection capabilities of ECG signals.

关 键 词：ECG QRS波群 小波 二分搜索算法 圆弧逼近曲线算法 室性波 

分 类 号：TP911.72[自动化与计算机技术]