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Current navigation systems incorporate algorithms for automatic identification of local activation time (LAT). However, data about their utility and accuracy in premature ventricular complex (PVC) ablation procedures are scarce. This prospective, randomized study analyzes the accuracy and effectivity of an algorithmic method based on automatic annotation of the maximal negative slope of the unipolar electrogram within the window demarcated by the bipolar electrogram, compared with conventional, manual annotation during PVC ablation procedures.
This is a prospective, randomized, controlled and international multicenter study. The investigators aim to analyze the accuracy of LAT annotation using a novel algorithmic method (Wavefront, CARTO, Biosense Webster, Diamond Bar, California, USA) (WF), based on automatic annotation of the maximal negative slope of the unipolar electrogram (U-EGM) within the window demarcated by the B-EGM, by comparison with conventional, manual annotation in a multicenter cohort of patients referred for PVC ablation. Further on, the automatic annotation of LAT will be aided by an ECG recognition pattern algorithm (included in the last version of CARTO), which is intended to avoid wrong annotation of ventricular complexes other than the clinical PVC. The investigators hypothesize that automatic LAT annotation (using WF and the ECG recognition algorithm) could be superior to conventional, manual annotation in terms of mapping success and could reduce both procedure time and radiofrequency time.
Ventricular Premature Complexes
Automatic annotation of LAT (WF-method), Manual annotation of LAT (M-method)
Not yet recruiting
Hospital Clinic of Barcelona
Published on BioPortfolio: 2017-11-20T03:45:11-0500
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