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中文摘要：
提出一种新算法进行QT间期的自动分析方法对ECG信号进行小波变换，根据模极大值对的形态进行T波识别。结果，经MIT-BIH数据库检验，QRS波识别率达到了99．52％。经QT数据库检验，T波正确识别率达到了87．69％，与心电专家手工标注相比，误差为0．33ms±10．59ms。
英文摘要：
Objective to present a new algorithm for automatic analysis of QT interval Methods ECG signal was first decomposed using the wavelet transform , then T wave recognition was done according to the module maxima pair＇s morphology. Results validated with MIT-BIH database, QRS detection rate was 99.52%. Validated with the QT database , the T wave detection rate was 87. 69%, and the difference between manual annotations and the detector＇s T wave ends was 0.33 ms±10.59 ms.
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