Analysis of PTCA-induced ischemia using an ECG inverse solution or the wavelet transform

J Electrocardiol. 1994:27 Suppl:93-100. doi: 10.1016/s0022-0736(94)80064-2.

Abstract

In patients without significant collaterals, percutaneous transluminal coronary angioplasty (PTCA) produces acute transient ischemia that is detectable in both standard electrocardiograms (ECG) and body surface potential maps (BSPMs). Control recordings made before or between inflations provide personalized baselines, which isolate the effects of ischemia from interpatient differences, such as torso shape and electrode location. In this study, two methods of evaluating PTCA-induced ischemia from BSPM recordings are presented. In the first method, an ECG inverse solution that estimates epicardial potentials from body surface signals using a realistic model of torso geometry is applied. The strength of this method lies in its potential ability to localize areas of cardiac ischemia on the epicardial surface. In the second approach, wavelet transforms were used to perform a multiresolution decomposition of the BSPM data into different frequency bands. The basis functions of the wavelet transform are time-limited and narrow band and hence can be expected to be sensitive to features of the BSPM that originate in discrete electrophysiologic events, such as intrusion of the activation front onto regions of ischemia or arrhythmias due to local conduction abnormalities. The method also offers a means of temporal and frequency localization of cardiac events related to the initiation of injury currents and abnormal conduction due to PTCA-induced ischemia. The inverse solution and the wavelet transform each offer new views of the spatial and temporal courses of acute ischemia potentially leading to new diagnostic insights in ECG patient examination.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Angioplasty, Balloon, Coronary* / adverse effects
  • Body Surface Potential Mapping
  • Computer Simulation
  • Electrocardiography*
  • Humans
  • Myocardial Ischemia / diagnosis*
  • Signal Processing, Computer-Assisted