基于改进小波变换的QRS特征提取算法研究

QRS Feature Extraction Algorithm Based on Wavelet Transform

提出了一种改进小波变换的方法对心电信号进行检测.首先设计不同的方法对心电干扰进行消噪预处理;然后对预处理后的心电信号采用改进小波变换和窗口函数的方法检测QRS波群;最后利用MIT-BIH标准数据库中的数据对此算法的准确度和有效性进行验证.结果表明改进小波变换方法对R波峰值定位的准确度可达到99.89%,为其他波群的检测定位奠定良好的基础,对诊断心肌梗死等心血管疾病具有重要意义.

An improved method of wavelet transform to detect ECG signal was proposed. Firstly, different methods were designed to remove ECG interference; then the improved wavelet transform method and the window function were used to detect the signals QRS wave; finally, the data in the MIT-BIH database was used to verify the accuracy and effectiveness. The results showed that the accuracy could reach 99. 89% for R wave peak positioning, which could be a good foundation for other wave groups location.The result would be of great significance for the diagnosis of cardiovascular diseases.