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Detection of Multilead ECG Character Points and Assessment Based on a Reference Database

机译:基于参考数据库的多导心电图特征点检测与评估

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A method of multilead ECG character points detection is introduced in this study. The method includes two main sections: the detection of single lead character points and determination of global character points. The method of single lead character points detection is similar to the traditional ones that use the first differential signal of ECG. While some special modification is adopted. The multilead ECG character points are gotten according the single lead result. To make the detection more reliable, an approach of lead optimization is used. In the process of global character points determination, such as the detection of the onset and the offset of QRS, P wave and T wave, the similar methods are used. Since some approaches can be found in several other papers, these processes are not explained into detail. The method is assessed with the CSE database. Since only part reference of CSE database is published, the test result is base on the MA1 data set which reference points are published. The result reveals that the method of detecting the fiducial point of P and QRS has similar accuracy as referee or average result of other computer program. While method of detecting the offset of T may need further improvement. In addition, to test the method stability and reliability, the character points of the CSE''s other data set (MA2, MO1, MO2) are also marked beat by beat manually. Then another assessment based on ourselves reference is also executed. The result is similar to the MA1 test result
机译:介绍了一种多导联心电图特征点检测方法。该方法包括两个主要部分:单个引导字符点的检测和全局字符点的确定。单引线字符点检测的方法与使用心电图的第一差分信号的传统方法相似。虽然采用了一些特殊的修改。根据单导结果得到多导心电图特征点。为了使检测更加可靠,使用了线索优化的方法。在全局字符点确定过程中,例如检测QRS,P波和T波的开始和偏移,使用了类似的方法。由于可以在其他几篇论文中找到一些方法,因此将不对这些过程进行详细说明。该方法通过CSE数据库进行评估。由于仅发布了CSE数据库的部分参考,因此测试结果基于发布参考点的MA1数据集。结果表明,检测P和QRS基准点的方法与裁判员或其他计算机程序的平均结果具有相似的准确性。虽然检测T的偏移的方法可能需要进一步改进。另外,为了测试方法的稳定性和可靠性,CSE其他数据集(MA2,MO1,MO2)的字符点也逐个手动标记。然后,还将执行基于我们自己的参考的另一项评估。结果类似于MA1测试结果

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