Abstract
The present work attempts to resolve some of the problems encountered in QT interval analysis and to describe a new algorithm that uses wavelets to analyze the QT interval on a beat-by-beat basis. The QT interval is further segmented into its contributing factors to find the variability in the repolarization phase. The technique and the algorithm have been tested on control and disease data from the standard MIT ECG library to prove the reproducibility and accuracy of the system. The technique has been implemented on a PC DSP add-on card to do the analysis on a beat-by-beat basis.
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