基于小波变换模板的QRS检测方法

目的 有效提高QRS复合波的检测率。方法 ECG信号经过小波变换后，其不同频率成份会映射到变换结果的不同尺度上，而在这些尺度之间存在相互的联系。本文正是利用小波变换后尺度之间的相互关系，提出了一种基于墨西哥草帽小波变换不同尺度之间关系的ECG信号QRS复合波检测方法。该方法根据变换结果的特征点提取小波变换模板，并将这个模板用于ECG信号的QRS检测，可以在滤除噪声的同时，有效提高检测率。结果 经MIT／BIH标准心电数据库检测验证，QRS波正确检测率达到99．9％。结论 综合利用小波变换不同尺度进行非线性变换所得到的模板可以显著提高QRS复合波的检测率。

Detection of QRS Complex Basing on Wavelet Transform Template

Objective To improve QRS complex detection rate. Method After wavelet transformation, the components of different frequencies in an ECG signal could be mapped to a set of specific scales, and there were some connections among them. Basing on the analysis of these scale results, a new QRS detection method was presented, in which the relations of different scales were applied to obtain a wavelet transform template after Mexican hat wavelet was implemented to the ECG signal. The obtained wavelet transform could be used in QRS detections. It reduces noise thus improves detection rates. Result The numerical results showed that the detection rates of this method could reach 99.9% when it was applied to detect ECG signals from MIT/BIH standard database. Conclusion QRS detection rate can be greatly improved when specific QRS template is obtained from the nonlinear transformation of the different wavelet scales.