Wavelet based assessment of abnormal intra-QRS potentials in patients with ventricular tachycardia

A. Bezerianos, M. Popescu, N. Laskaris, A. Manolis, I. Hiladakis, C. Stathopoulos, P. Cristea

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish (US)
Pages (from-to)1394-1395
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume4
StatePublished - Dec 1 1996
EventProceedings 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 1996Nov 3 1996

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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