Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients

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

Research output: Contribution to journalArticle

Abstract

This study proposes a wavelet transform based technique to assess the beat-to-beat variation of the QRS signal in post-myocardial infarction patients with sustained monomorphic ventricular tachycardia. Recent electrophysiological investigations suggested that the diminished synchrony between the normal myocardium and the scarred arrhythmogenic tissue bordering a myocardial infarction area gives rise to beat-variable ECG signal components. Using a mathematical model of small variations in a largely repetitive waveform, we show that the inherent alignment errors (trigger jitter) of the high-resolution ECG (HRECG) can artificially increase the value of the time-domain beat-to-beat variance, making it less valuable as a marker of beat-variable signal components. To overcome this drawback, we propose the wavelet based approach which discriminates between the different factors responsible for the beat variability (the alignment error and the beat-variable signal components). The Morlet wavelet transform is performed on HRECG signals from normal individuals (control group) and postmyocardial infarction patients with documented ventricular tachycardia. Electrical variability is quantitatively assessed via the beat-to-beat wavelet variance measurements. A marker of arrhythmogenic induced variance which achieves a good performance in discrimination of ventricular tachycardia patients from normal subjects was found between 200 Hz and 300 Hz. This finding is in agreement with the proposed mathematical model which states that the useful part of the time-frequency map is shifted upward in a precise mathematical way, as the variance induced by the beat-variable arrhythmogenic signals depend on the frequency characteristics of the first derivative of these signals. We conclude that the dynamics of the arrhythmogenic substrate as revealed by the beat-to-beat wavelet variance can be a new estimator of ventricular tachycardia risk.

Original languageEnglish (US)
Pages (from-to)77-92
Number of pages16
JournalPhysiological Measurement
Volume19
Issue number1
DOIs
StatePublished - 1998
Externally publishedYes

Fingerprint

Ventricular Tachycardia
Electrocardiography
Wavelet Analysis
Wavelet transforms
Substrates
Mathematical models
Theoretical Models
Myocardial Infarction
Jitter
Tissue
Infarction
Derivatives
Myocardium
Control Groups

Keywords

  • Beat-to-beat variance
  • Ventricular tachycardia
  • Wavelet transform

ASJC Scopus subject areas

  • Biophysics

Cite this

Popescu, M., Laskaris, N., Chiladakis, I., Stathopoulos, C., Cristea, P., Manolis, A., & Bezerianos, A. (1998). Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients. Physiological Measurement, 19(1), 77-92. https://doi.org/10.1088/0967-3334/19/1/007

Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients. / Popescu, M.; Laskaris, N.; Chiladakis, I.; Stathopoulos, C.; Cristea, P.; Manolis, A.; Bezerianos, A.

In: Physiological Measurement, Vol. 19, No. 1, 1998, p. 77-92.

Research output: Contribution to journalArticle

Popescu, M, Laskaris, N, Chiladakis, I, Stathopoulos, C, Cristea, P, Manolis, A & Bezerianos, A 1998, 'Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients', Physiological Measurement, vol. 19, no. 1, pp. 77-92. https://doi.org/10.1088/0967-3334/19/1/007
Popescu, M. ; Laskaris, N. ; Chiladakis, I. ; Stathopoulos, C. ; Cristea, P. ; Manolis, A. ; Bezerianos, A. / Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients. In: Physiological Measurement. 1998 ; Vol. 19, No. 1. pp. 77-92.
@article{27b91e6b14ad40a0bc9a95a572410884,
title = "Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients",
abstract = "This study proposes a wavelet transform based technique to assess the beat-to-beat variation of the QRS signal in post-myocardial infarction patients with sustained monomorphic ventricular tachycardia. Recent electrophysiological investigations suggested that the diminished synchrony between the normal myocardium and the scarred arrhythmogenic tissue bordering a myocardial infarction area gives rise to beat-variable ECG signal components. Using a mathematical model of small variations in a largely repetitive waveform, we show that the inherent alignment errors (trigger jitter) of the high-resolution ECG (HRECG) can artificially increase the value of the time-domain beat-to-beat variance, making it less valuable as a marker of beat-variable signal components. To overcome this drawback, we propose the wavelet based approach which discriminates between the different factors responsible for the beat variability (the alignment error and the beat-variable signal components). The Morlet wavelet transform is performed on HRECG signals from normal individuals (control group) and postmyocardial infarction patients with documented ventricular tachycardia. Electrical variability is quantitatively assessed via the beat-to-beat wavelet variance measurements. A marker of arrhythmogenic induced variance which achieves a good performance in discrimination of ventricular tachycardia patients from normal subjects was found between 200 Hz and 300 Hz. This finding is in agreement with the proposed mathematical model which states that the useful part of the time-frequency map is shifted upward in a precise mathematical way, as the variance induced by the beat-variable arrhythmogenic signals depend on the frequency characteristics of the first derivative of these signals. We conclude that the dynamics of the arrhythmogenic substrate as revealed by the beat-to-beat wavelet variance can be a new estimator of ventricular tachycardia risk.",
keywords = "Beat-to-beat variance, Ventricular tachycardia, Wavelet transform",
author = "M. Popescu and N. Laskaris and I. Chiladakis and C. Stathopoulos and P. Cristea and A. Manolis and A. Bezerianos",
year = "1998",
doi = "10.1088/0967-3334/19/1/007",
language = "English (US)",
volume = "19",
pages = "77--92",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - Beat-to-beat wavelet variance of the QRS complex as a marker of arrhythmogenic substrate in ventricular tachycardia patients

AU - Popescu, M.

AU - Laskaris, N.

AU - Chiladakis, I.

AU - Stathopoulos, C.

AU - Cristea, P.

AU - Manolis, A.

AU - Bezerianos, A.

PY - 1998

Y1 - 1998

N2 - This study proposes a wavelet transform based technique to assess the beat-to-beat variation of the QRS signal in post-myocardial infarction patients with sustained monomorphic ventricular tachycardia. Recent electrophysiological investigations suggested that the diminished synchrony between the normal myocardium and the scarred arrhythmogenic tissue bordering a myocardial infarction area gives rise to beat-variable ECG signal components. Using a mathematical model of small variations in a largely repetitive waveform, we show that the inherent alignment errors (trigger jitter) of the high-resolution ECG (HRECG) can artificially increase the value of the time-domain beat-to-beat variance, making it less valuable as a marker of beat-variable signal components. To overcome this drawback, we propose the wavelet based approach which discriminates between the different factors responsible for the beat variability (the alignment error and the beat-variable signal components). The Morlet wavelet transform is performed on HRECG signals from normal individuals (control group) and postmyocardial infarction patients with documented ventricular tachycardia. Electrical variability is quantitatively assessed via the beat-to-beat wavelet variance measurements. A marker of arrhythmogenic induced variance which achieves a good performance in discrimination of ventricular tachycardia patients from normal subjects was found between 200 Hz and 300 Hz. This finding is in agreement with the proposed mathematical model which states that the useful part of the time-frequency map is shifted upward in a precise mathematical way, as the variance induced by the beat-variable arrhythmogenic signals depend on the frequency characteristics of the first derivative of these signals. We conclude that the dynamics of the arrhythmogenic substrate as revealed by the beat-to-beat wavelet variance can be a new estimator of ventricular tachycardia risk.

AB - This study proposes a wavelet transform based technique to assess the beat-to-beat variation of the QRS signal in post-myocardial infarction patients with sustained monomorphic ventricular tachycardia. Recent electrophysiological investigations suggested that the diminished synchrony between the normal myocardium and the scarred arrhythmogenic tissue bordering a myocardial infarction area gives rise to beat-variable ECG signal components. Using a mathematical model of small variations in a largely repetitive waveform, we show that the inherent alignment errors (trigger jitter) of the high-resolution ECG (HRECG) can artificially increase the value of the time-domain beat-to-beat variance, making it less valuable as a marker of beat-variable signal components. To overcome this drawback, we propose the wavelet based approach which discriminates between the different factors responsible for the beat variability (the alignment error and the beat-variable signal components). The Morlet wavelet transform is performed on HRECG signals from normal individuals (control group) and postmyocardial infarction patients with documented ventricular tachycardia. Electrical variability is quantitatively assessed via the beat-to-beat wavelet variance measurements. A marker of arrhythmogenic induced variance which achieves a good performance in discrimination of ventricular tachycardia patients from normal subjects was found between 200 Hz and 300 Hz. This finding is in agreement with the proposed mathematical model which states that the useful part of the time-frequency map is shifted upward in a precise mathematical way, as the variance induced by the beat-variable arrhythmogenic signals depend on the frequency characteristics of the first derivative of these signals. We conclude that the dynamics of the arrhythmogenic substrate as revealed by the beat-to-beat wavelet variance can be a new estimator of ventricular tachycardia risk.

KW - Beat-to-beat variance

KW - Ventricular tachycardia

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=0031933493&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031933493&partnerID=8YFLogxK

U2 - 10.1088/0967-3334/19/1/007

DO - 10.1088/0967-3334/19/1/007

M3 - Article

C2 - 9522389

AN - SCOPUS:0031933493

VL - 19

SP - 77

EP - 92

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 1

ER -