@article{
 title = {ECG delineation using stationary wavelet transform},
 type = {article},
 year = {2006},
 identifiers = {[object Object]},
 keywords = {ECG wave delineation,P-QRS-T wave detection,Wavelets},
 pages = {271-274},
 id = {036840d4-969b-3d1e-87be-64fc244209f9},
 created = {2015-04-30T11:14:34.000Z},
 file_attached = {true},
 profile_id = {5e73f9af-1f10-3a70-a285-d3fbb699efe2},
 group_id = {e134fb94-8118-3ebe-b82d-bfbf0a8ae633},
 last_modified = {2015-04-30T12:36:49.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 abstract = {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.},
 bibtype = {article},
 author = {Shivappriya, S. N. and Shanthaselvakumari, R. and Gowrishankar, T.},
 journal = {Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006}
}

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