In this contribution, we propose to automatize the identification of STD EGMs using machine learning while comparing several features.
Oct 15, 2021 · Identification of Spatiotemporal Dispersion Electrograms in Atrial Fibrillation Ablation Using Machine Learning: A Comparative Study. Amina ...
Jun 20, 2020 · It targets areas of spatiotemporal dispersion (STD) in the atria as potential AF drivers. STD is defined a as delay of the cardiac activation ...
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Identification of spatiotemporal dispersion electrograms in atrial fibrillation ablation using machine learning: A comparative study. https://doi.org/10.1016 ...
Fibrillation: a Comparative Study of Machine Learning Techniques Using Both. Real and Realistic Synthetic Multipolar Electrograms. Sara Frusone 1, Rafael ...
Oct 15, 2021 · Identification of Spatiotemporal Dispersion Electrograms in Atrial Fibrillation Ablation Using Machine Learning: A Comparative Study. Amina ...
Mar 15, 2024 · We present three datasets to be used to train and test different machine learning models in automatically identifying STD patterns from ...
Jan 3, 2024 · This study aimed to identify PerAF patients who required substrate ablation using intraprocedural assessment of the baseline rhythm and the ...
Identification of Ablation Sites in Persistent Atrial Fibrillation Based on Spatiotemporal Dispersion of Electrograms Using Machine Learning. December 2020.
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The purpose of this pilot study was to describe a visually recognizable intracardiac electrogram abnormality that can identify regions of AF drivers.