改进的基于小波变换的QRS波检测算法  

Modified Algorithm of QRS Wave Detection Based on Wavelet Transform

作　　者：姚成[1,2] 司玉娟[1,3] 郎六琪[1,3] 韩松洋[1,3] 

机构地区：[1]吉林大学通信工程学院,长春130022 [2]装甲兵技术学院控制工程系,长春130117 [3]吉林大学珠海学院,广东珠海519041

出　　处：《吉林大学学报（信息科学版）》2011年第5期401-407,共7页Journal of Jilin University（Information Science Edition）

基　　金：广东省教育部产学研结合基金资助项目(2009B090300260)

摘　　要：为提高心电信号QRS波的检测精度,分析了小波变换对信号奇异点检测原理,提出了改进的基于小波变换的QRS波检测方法。该方法通过考察小波分解系数进行R峰位置区间定位,R波漏检回溯及正向、倒置R波判断的QRS波检测方法;并提出了一种新的跟随阈值。该算法在Matlab仿真环境中,经过对MIT-BIH数据库中典型14条ECG(Electrocardiogram)信号进行QRS波检测实验。数据表明,该算法对正常心电和非正常心电的检出率达到99.98%,具有较高的实用价值。After analyzing the theory of wavelet transform＇s detection of signal singularity, we have modified a QRS wave detection method based on wavelet transform, which focuses on the interval mapping of R peak through observing the coefficients of wavelet decomposition, the omission of R peak, the retraction of R peak, the judg- ment of the forward R peak and the reverse R peak, and put forward a new kind of follow threshold. Using this algorithm, the QRS wave detection was experimented on 14 ECG （Electrocardiogram） data in MIT-BIH database within the Matlab simulation environment. The experimental data shows that, with the use of the algorithm, the detection rate of the normal ECG and the abnormal ECG reaches 99.98% , which has high practical value.

关 键 词：QRS波检测 心电图 小波变换 信号奇异点 

分 类 号：TN911.72[电子电信—通信与信息系统]