基于墨西哥帽小波的QRS复合波检测
[QRS complexes detection based on Mexican-hat wavelet].
作者信息
Qiu Yazhu, Ding Xianfeng, Feng Jun, Mo Zhiwen
机构信息
College of Mathematics and Software Science, Sichuan Normal University, Chengdu 610066, China.
出版信息
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Dec;23(6):1347-9.
In this paper, we using Mexican-hat wavelet transform to detect characteristic points of ECG signal based on the characteristic points corresponding with the extremes of Mexican-hat wavelet transform. It offers a new detection method of ECG signal analysis. This method is simple and it is proved to be accurate and reliable. The correct rate of QRS detection rate examined by the MIT-BIT arrhythmia database rises up to 99.9%.
在本文中，我们基于墨西哥帽小波变换的极值对应的特征点，使用墨西哥帽小波变换来检测心电图（ECG）信号的特征点。它提供了一种新的心电图信号分析检测方法。该方法简单，且已被证明准确可靠。通过麻省理工学院 - 波士顿大学心律失常数据库检验，QRS波检测率的正确率高达99.9%。
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