An automated fractionation mapping algorithm for mapping of scar-based ventricular tachycardia.

Hunter LaunerTom ClarkThomas DewlandCharles A HenriksonBabak Nazer

Published in: Pacing and clinical electrophysiology : PACE (2019)

Careful selection of signal processing parameters optimizes sensitivity and specificity of automated fractionation mapping for scar-based VT. Real-time use of fMap algorithms may reduce VT ablation procedure time and improve substrate modification, which may improve outcomes.

Keyphrases

machine learning
high resolution
deep learning
high density
high throughput
metabolic syndrome
insulin resistance
skeletal muscle
radiofrequency ablation
atrial fibrillation
catheter ablation