As the variation of QRS complex wave is the primary reference criteria on clinical diagnosis of arrhythmia, exact extraction of the features of QRS complex wave is the key problem.
QRS复合波群的形态变化是心律失常临床诊断的重要参考标准，因而准确地提取QRS复合波群的波形特征是心律失常自动化诊断中面临的关键问题。
In this paper, several characteristics of ECG from patients, such as QRS complex and its onset and offset T wave and S-T segment, has been detected using wavelet method.
本课题基于小波理论设计软件算法，提出了模极值线群方法，抽取心电信号中若干具有临床价值的特征：QRS波群组态及其起点和终点、T波、S-T段。
Methods We compared the surface ECG in 12 leads during sinus rhythm with tachycardia, and tried to find the relation between the different locations of retrograde P' wave and QRS complex in all leads.
方法用对比的方法分析窦律下和心动过速时12导联体表心电图，找出心动过速时逆传P’波在不同导联的位置及与QRS波的关系。
Methods We compared the surface ECG in 12 leads during sinus rhythm with tachycardia, and tried to find the relation between the different locations of retrograde P' wave and QRS complex in all leads.
方法用对比的方法分析窦律下和心动过速时12导联体表心电图，找出心动过速时逆传P’波在不同导联的位置及与QRS波的关系。
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