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Wavelet Based Feature Extraction And Dimension Reduction For The Classification Of Human Cardiac Electrogram Depolarization Waveforms, Christopher S. De Voir
Wavelet Based Feature Extraction And Dimension Reduction For The Classification Of Human Cardiac Electrogram Depolarization Waveforms, Christopher S. De Voir
Dissertations and Theses
An essential task for a pacemaker or implantable defibrillator is the accurate identification of rhythm categories so that the correct electrotherapy can be administered. Because some rhythms cause a rapid dangerous drop in cardiac output, it is necessary to categorize depolarization waveforms on a beat-to-beat basis to accomplish rhythm classification as rapidly as possible. In this thesis, a depolarization waveform classifier based on the Lifting Line Wavelet Transform is described. It overcomes problems in existing rate-based event classifiers; namely, (1) they are insensitive to the conduction path of the heart rhythm and (2) they are not robust to pseudo-events. The …