一种实时鲁棒的 QRS波群检测算法

摘要

Since ECG is sensible to noise and is imprecise while detecting , in light of these , we propose a robust QRS complex detection algorithm.First, the impacts of the baseline shift and high frequency noise are removed using wavelet transform , then the local extreme points in ECG is detected with difference method , the candidate R peaks in the signal is obtained using amplitude threshold according to the characteristic of high amplitude of R peak , at last the wavelet threshold is set according to wavelet domain information to delete the redundant R peaks detection.Verified by the ECG database of MIT-BIH, the QRS complex detection reaches the sensitivity of 99.88%and the positive detection rate of 99.86%.Experimental result exhibits the simplicity , efficiency and robustness of the algorithm , it is suitable for real-time application .%针对心电信号易受噪声影响，检测不准确的不足，提出一种鲁棒的QRS波群检测算法。算法首先采用小波变换去除基线漂移及高频噪声的影响，再利用差分方法检测心电信号中的局部极值点，根据R峰幅值高的特点利用幅度阈值检出信号中的候选R峰，最后根据信号小波域信息设定小波阈值删除多检 R 峰。经MIT-BIH心电数据库的验证， QRS 波群检测的灵敏度为99．88％，正检测率为99．86％。实验结果表明，该方法简单高效、鲁棒性好，适于实时应用。