TY - GEN
T1 - Cardiac electrical instability of the arrhythmogenic tissue substrate assessed by means of wavelet transform
AU - Popescu, M.
AU - Laskaris, N.
AU - Merloi, A.
AU - Chiladakis, I.
AU - Stathopoulos, C.
AU - Manolis, A.
AU - Cristea, P.
AU - Bezerianos, A.
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0031318864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031318864&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-887-8-551
DO - 10.3233/978-1-60750-887-8-551
M3 - Conference contribution
C2 - 1998125820
AN - SCOPUS:0031318864
SN - 9051993439
SN - 9789051993431
T3 - Studies in Health Technology and Informatics
SP - 551
EP - 555
BT - Medical Informatics Europe 1997, MIE 1997
PB - IOS Press
T2 - 14th Conference on Medical Informatics Europe 1997, MIE 1997
Y2 - 25 May 1997 through 29 May 1997
ER -