QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: A prospective pilot study

Vassilios P. Vassilikos, Lilian Mantziari, Georgios Dakos, Vasileios Kamperidis, Ioanna Chouvarda, Yiannis S. Chatzizisis, Panagiotis Kalpidis, Efstratios Theofilogiannakos, Stelios Paraskevaidis, Haralambos Karvounis, Sotirios Mochlas, Nikolaos Maglaveras, Ioannis H. Styliadis

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background Wider QRS and left bundle branch block morphology are related to response to cardiac resynchronization therapy (CRT). A novel time-frequency analysis of the QRS complex may provide additional information in predicting response to CRT. Methods Signal-averaged electrocardiograms were prospectively recorded, before CRT, in orthogonal leads and QRS decomposition in three frequency bands was performed using the Morlet wavelet transformation. Results Thirty eight patients (age 65 ± 10 years, 31 males) were studied. CRT responders (n = 28) had wider baseline QRS compared to non-responders and lower QRS energies in all frequency bands. The combination of QRS duration and mean energy in the high frequency band had the best predicting ability (AUC 0.833, 95%CI 0.705-0.962, p = 0.002) followed by the maximum energy in the high frequency band (AUC 0.811, 95%CI 0.663-0.960, p = 0.004). Conclusions Wavelet transformation of the QRS complex is useful in predicting response to CRT.

Original languageEnglish (US)
Pages (from-to)59-65
Number of pages7
JournalJournal of Electrocardiology
Volume47
Issue number1
DOIs
StatePublished - Jan 1 2014

Fingerprint

Wavelet Analysis
Cardiac Resynchronization Therapy
Prospective Studies
Area Under Curve
Bundle-Branch Block
Electrocardiography

Keywords

  • Biventricular pacing
  • Heart failure
  • Morlet wavelet transform
  • QRS complex
  • Signal processing

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy : A prospective pilot study. / Vassilikos, Vassilios P.; Mantziari, Lilian; Dakos, Georgios; Kamperidis, Vasileios; Chouvarda, Ioanna; Chatzizisis, Yiannis S.; Kalpidis, Panagiotis; Theofilogiannakos, Efstratios; Paraskevaidis, Stelios; Karvounis, Haralambos; Mochlas, Sotirios; Maglaveras, Nikolaos; Styliadis, Ioannis H.

In: Journal of Electrocardiology, Vol. 47, No. 1, 01.01.2014, p. 59-65.

Research output: Contribution to journalArticle

Vassilikos, VP, Mantziari, L, Dakos, G, Kamperidis, V, Chouvarda, I, Chatzizisis, YS, Kalpidis, P, Theofilogiannakos, E, Paraskevaidis, S, Karvounis, H, Mochlas, S, Maglaveras, N & Styliadis, IH 2014, 'QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: A prospective pilot study', Journal of Electrocardiology, vol. 47, no. 1, pp. 59-65. https://doi.org/10.1016/j.jelectrocard.2013.08.003
Vassilikos, Vassilios P. ; Mantziari, Lilian ; Dakos, Georgios ; Kamperidis, Vasileios ; Chouvarda, Ioanna ; Chatzizisis, Yiannis S. ; Kalpidis, Panagiotis ; Theofilogiannakos, Efstratios ; Paraskevaidis, Stelios ; Karvounis, Haralambos ; Mochlas, Sotirios ; Maglaveras, Nikolaos ; Styliadis, Ioannis H. / QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy : A prospective pilot study. In: Journal of Electrocardiology. 2014 ; Vol. 47, No. 1. pp. 59-65.
@article{1ddb2cfcbcb04b6984da68a8de60be63,
title = "QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: A prospective pilot study",
abstract = "Background Wider QRS and left bundle branch block morphology are related to response to cardiac resynchronization therapy (CRT). A novel time-frequency analysis of the QRS complex may provide additional information in predicting response to CRT. Methods Signal-averaged electrocardiograms were prospectively recorded, before CRT, in orthogonal leads and QRS decomposition in three frequency bands was performed using the Morlet wavelet transformation. Results Thirty eight patients (age 65 ± 10 years, 31 males) were studied. CRT responders (n = 28) had wider baseline QRS compared to non-responders and lower QRS energies in all frequency bands. The combination of QRS duration and mean energy in the high frequency band had the best predicting ability (AUC 0.833, 95{\%}CI 0.705-0.962, p = 0.002) followed by the maximum energy in the high frequency band (AUC 0.811, 95{\%}CI 0.663-0.960, p = 0.004). Conclusions Wavelet transformation of the QRS complex is useful in predicting response to CRT.",
keywords = "Biventricular pacing, Heart failure, Morlet wavelet transform, QRS complex, Signal processing",
author = "Vassilikos, {Vassilios P.} and Lilian Mantziari and Georgios Dakos and Vasileios Kamperidis and Ioanna Chouvarda and Chatzizisis, {Yiannis S.} and Panagiotis Kalpidis and Efstratios Theofilogiannakos and Stelios Paraskevaidis and Haralambos Karvounis and Sotirios Mochlas and Nikolaos Maglaveras and Styliadis, {Ioannis H.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.jelectrocard.2013.08.003",
language = "English (US)",
volume = "47",
pages = "59--65",
journal = "Journal of Electrocardiology",
issn = "0022-0736",
publisher = "Churchill Livingstone",
number = "1",

}

TY - JOUR

T1 - QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy

T2 - A prospective pilot study

AU - Vassilikos, Vassilios P.

AU - Mantziari, Lilian

AU - Dakos, Georgios

AU - Kamperidis, Vasileios

AU - Chouvarda, Ioanna

AU - Chatzizisis, Yiannis S.

AU - Kalpidis, Panagiotis

AU - Theofilogiannakos, Efstratios

AU - Paraskevaidis, Stelios

AU - Karvounis, Haralambos

AU - Mochlas, Sotirios

AU - Maglaveras, Nikolaos

AU - Styliadis, Ioannis H.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Background Wider QRS and left bundle branch block morphology are related to response to cardiac resynchronization therapy (CRT). A novel time-frequency analysis of the QRS complex may provide additional information in predicting response to CRT. Methods Signal-averaged electrocardiograms were prospectively recorded, before CRT, in orthogonal leads and QRS decomposition in three frequency bands was performed using the Morlet wavelet transformation. Results Thirty eight patients (age 65 ± 10 years, 31 males) were studied. CRT responders (n = 28) had wider baseline QRS compared to non-responders and lower QRS energies in all frequency bands. The combination of QRS duration and mean energy in the high frequency band had the best predicting ability (AUC 0.833, 95%CI 0.705-0.962, p = 0.002) followed by the maximum energy in the high frequency band (AUC 0.811, 95%CI 0.663-0.960, p = 0.004). Conclusions Wavelet transformation of the QRS complex is useful in predicting response to CRT.

AB - Background Wider QRS and left bundle branch block morphology are related to response to cardiac resynchronization therapy (CRT). A novel time-frequency analysis of the QRS complex may provide additional information in predicting response to CRT. Methods Signal-averaged electrocardiograms were prospectively recorded, before CRT, in orthogonal leads and QRS decomposition in three frequency bands was performed using the Morlet wavelet transformation. Results Thirty eight patients (age 65 ± 10 years, 31 males) were studied. CRT responders (n = 28) had wider baseline QRS compared to non-responders and lower QRS energies in all frequency bands. The combination of QRS duration and mean energy in the high frequency band had the best predicting ability (AUC 0.833, 95%CI 0.705-0.962, p = 0.002) followed by the maximum energy in the high frequency band (AUC 0.811, 95%CI 0.663-0.960, p = 0.004). Conclusions Wavelet transformation of the QRS complex is useful in predicting response to CRT.

KW - Biventricular pacing

KW - Heart failure

KW - Morlet wavelet transform

KW - QRS complex

KW - Signal processing

UR - http://www.scopus.com/inward/record.url?scp=84891481352&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891481352&partnerID=8YFLogxK

U2 - 10.1016/j.jelectrocard.2013.08.003

DO - 10.1016/j.jelectrocard.2013.08.003

M3 - Article

C2 - 24034302

AN - SCOPUS:84891481352

VL - 47

SP - 59

EP - 65

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

SN - 0022-0736

IS - 1

ER -