Literature DB >> 24034302

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

Vassilios P Vassilikos1, Lilian Mantziari2, Georgios Dakos1, Vasileios Kamperidis1, Ioanna Chouvarda3, Yiannis S Chatzizisis1, Panagiotis Kalpidis1, Efstratios Theofilogiannakos1, Stelios Paraskevaidis1, Haralambos Karvounis1, Sotirios Mochlas1, Nikolaos Maglaveras3, Ioannis H Styliadis1.   

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±10years, 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.
© 2013.

Entities:  

Keywords:  Biventricular pacing; Heart failure; Morlet wavelet transform; QRS complex; Signal processing

Mesh:

Year:  2013        PMID: 24034302     DOI: 10.1016/j.jelectrocard.2013.08.003

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  4 in total

1.  Analysis of the High-Frequency Content in Human QRS Complexes by the Continuous Wavelet Transform: An Automatized Analysis for the Prediction of Sudden Cardiac Death.

Authors:  Daniel García Iglesias; Nieves Roqueñi Gutiérrez; Francisco Javier De Cos; David Calvo
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

2.  Spectral Analysis of the QT Interval Increases the Prediction Accuracy of Clinical Variables in Brugada Syndrome.

Authors:  Daniel García-Iglesias; Francisco Javier de Cos; Francisco Javier Romero; Srujana Polana; José Manuel Rubín; Diego Pérez; Julián Reguero; Jesús María de la Hera; Pablo Avanzas; Juan Gómez; Eliecer Coto; César Morís; David Calvo
Journal:  J Clin Med       Date:  2019-10-04       Impact factor: 4.241

3.  Interpretable Detection and Location of Myocardial Infarction Based on Ventricular Fusion Rule Features.

Authors:  Wenzhi Zhang; Runchuan Li; Shengya Shen; Jinliang Yao; Yan Peng; Gang Chen; Bing Zhou; Zongmin Wang
Journal:  J Healthc Eng       Date:  2021-10-12       Impact factor: 2.682

4.  P-Wave Beat-to-Beat Analysis to Predict Atrial Fibrillation Recurrence after Catheter Ablation.

Authors:  Dimitrios Tachmatzidis; Anastasios Tsarouchas; Dimitrios Mouselimis; Dimitrios Filos; Antonios P Antoniadis; Dimitrios N Lysitsas; Nikolaos Mezilis; Antigoni Sakellaropoulou; Georgios Giannopoulos; Constantinos Bakogiannis; Konstantinos Triantafyllou; Nikolaos Fragakis; Konstantinos P Letsas; Dimitrios Asvestas; Michael Efremidis; Charalampos Lazaridis; Ioanna Chouvarda; Vassilios P Vassilikos
Journal:  Diagnostics (Basel)       Date:  2022-03-28
  4 in total

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