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 journalArticlepeer-review

12 Scopus citations

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 2014
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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