Abstract
The concept of late potentials may be expanded if early abnormal activation of the myocardium can be linked to arrhythmogenesis. The detection of abnormal intra-QRS potentials in patients with ventricular tachycardia has been achieved from the row ECG data based upon a two step wavelet transformation/feature extraction process. The beat-to-beat variance of the QRS-corresponding wavelet coefficients and the modulus maxima evolution across scales have been tested as distinguishing features of arrhythmogenicity. Their comparison with conventional late potentials revealed improvements in ventricular tachycardia risk assessment.
Original language | English (US) |
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Pages (from-to) | 1394-1395 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 4 |
State | Published - Dec 1 1996 |
Event | Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth Duration: Oct 31 1996 → Nov 3 1996 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics