Cardiac electrical instability of the arrhythmogenic tissue substrate assessed by means of wavelet transform

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The unstable activation wavefront from the tissue responsible for the production of ventricular tachycardia (VT) gives rise to beat-variable signals components that are eluded during the averaging step of high resolution ECG (HRECG). We used a mathematical model of small variations in a largely repetitive waveform to evaluate the beat-to-beat variance of the HRECG signal. The ability of the Morlet Wavelet Transform to discriminate the different factors responsible for the beat-variability (the alignment error and the beat-variable signal component) has been assessed on simulated signals. The performance evaluation on real ECG signals from normal subjects and patients with a documented history of ventricular tachycardia showed that the dynamics of the arrhythmogenic substrate as revealed by wavelet transform offers a significant improvement in ventricular tachycardia risk assessment.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages551-555
Number of pages5
Volume43
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event14th Conference on Medical Informatics Europe 1997, MIE 1997 - Thessaloniki, Greece
Duration: May 25 1997May 29 1997

Other

Other14th Conference on Medical Informatics Europe 1997, MIE 1997
CountryGreece
CityThessaloniki
Period5/25/975/29/97

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Popescu, M., Laskaris, N., Merloi, A., Chiladakis, I., Stathopoulos, C., Manolis, A., ... Bezerianos, A. (1997). Cardiac electrical instability of the arrhythmogenic tissue substrate assessed by means of wavelet transform. In Studies in Health Technology and Informatics (Vol. 43, pp. 551-555) https://doi.org/10.3233/978-1-60750-887-8-551