ECG delineation using stationary wavelet transform. Shivappriya, S., N., Shanthaselvakumari, R., & Gowrishankar, T. Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006, 2006.
ECG delineation using stationary wavelet transform [pdf]Paper  abstract   bibtex   
The detection of ECG waves is important to cardiac disease diagnosis. A good system depends heavily upon the accurate and reliable detection of QRS complex as well as the T and P wave. In this paper first the noise is removed from the digitized ECG signal. Then Stationary Wavelet Transform (SWT) is applied to the de-noised signal. After that QRS complex, T and P waves are detected and also delineated using different amplitude threshold values. This algorithm allows delineation of wide variety of QRS complex, P and T wave. In this evolution is done for different manually annotated databases, such as MIT-BIH Arrhythmia, QT and European ST-T database. The QRS detector obtained a sensitivity Se=99.30% and positive predictivity of PP=99.39% over the well known MIT-BIH Arrhythmia Database.

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