QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: a prospective pilot study.
| Τίτλος | QRS analysis using wavelet transformation for the prediction of response to cardiac resynchronization therapy: a prospective pilot study. |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Vassilikos, V. P., Mantziari L., Dakos G., Kamperidis V., Chouvarda I., Chatzizisis Y. S., Kalpidis P., Theofilogiannakos E., Paraskevaidis S., Karvounis H., Mochlas S., Maglaveras N., & Styliadis I. H. |
| Journal | J Electrocardiol |
| Volume | 47 |
| Issue | 1 |
| Pagination | 59-65 |
| Date Published | 2014 Jan-Feb |
| ISSN | 1532-8430 |
| Λέξεις κλειδιά | Aged, Algorithms, Cardiac Resynchronization Therapy, Diagnosis, Computer-Assisted, Electrocardiography, Female, Heart Failure, Humans, Male, Pilot Projects, Prognosis, Prospective Studies, Reproducibility of Results, Sensitivity and Specificity, Treatment Outcome, Wavelet Analysis |
| 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. |
| DOI | 10.1016/j.jelectrocard.2013.08.003 |
| Alternate Journal | J Electrocardiol |
| PubMed ID | 24034302 |
