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Composition Modeling for Cataloging of Late Potentials in ECG Signals via Wavelets

机译:通过小波对ECG信号中的晚期潜力编目编目的构图建模

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Late potentials in ECG take place in the terminal portion of the QRS complex and are characterized by tiny amplitudes and larger frequencies. The occurrence of late potentials may signify underlying distribution of electrical activity of the cells in the heart, and provides a substrate for production of arrhythmias. The problem of late potentials causes high levels of signal power to be seen at frequencies not representing the original signal. The present work describes the application of Wavelet Transform to provide a more accurate picture of the localized time-scale features indicative of the late potentials. The first step includes generating mathematical equations for various cases by developing a program in Matlab. Compared the signal under consideration with all those signals in the database by developing an identification code in Matlab. Analyzed the late potentials in the signal under consideration and identified the case. The second step includes generating mathematical equations for various specimen cases for the same type category by developing a program in Matlab. Compared the signal under consideration with all those signals in the database by developing an identification code in Matlab. Analyzed the late potentials in the signal under consideration and identified the case along with the specimen case.
机译:ECG中的晚期电位在QRS复合物的终端部分中进行,其特征在于微小的振幅和更大的频率。晚期电位的发生可以表示心脏中细胞的电活动的基础分布,并提供用于产生心律失常的基材。晚期电位的问题导致在不表示原始信号的频率下看到高水平的信号功率。本工作描述了小波变换的应用,提供了指示晚期电位的局部时间尺度特征的更准确的图像。第一步包括通过在MATLAB中开发程序来为各种情况生成数学方程。通过在MATLAB中开发识别码,在数据库中的所有这些信号进行考虑的信号。分析了所考虑的信号中的后期电位并确定了这种情况。第二步包括通过在MATLAB中开发一个程序来为相同类型类别生成各种标本情况的数学方程。通过在MATLAB中开发识别码,在数据库中的所有这些信号进行考虑的信号。分析了所考虑的信号中的后期电位,并与标本案例确定了案例。

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