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

Abstract

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 [3, 4]. 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.