Beat-To-Beat Analysis of Vectorcardiogram by Inhomogeneous Template Adaptation

Filip Karisik1, Mathias Baumert, Martin Schmidt2

  • 1University of Adelaide, School of Electrical and Electronic Engi
  • 2TU Dresden

Details

08:45 - 09:00 | Wed 24 Jul | Hall A2 - Level 1 | WeA05.2

Session: Signal Processing and Classification of Cardiac Signals

Abstract

Increased beat-to-beat QT interval variability in electrocardiograms is a robust descriptor of ventricular depolarization and repolarization lability. Variability analysis of the depolarization and repolarization intervals in vectorcardiogram has indicated potential diagnostic abilities. Here, we describe an inhomogeneous signal adaptation technique for vectorcardiogram. We propose a novel global-to-local adaptation method that yields robust results even when dealing with noisy vectorcardiogram signals. We evaluated several vectorcardiogram features using the proposed adaptation technique on the PTB database to demonstrate its potential diagnostic prowess for myocardial infarction.