Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset
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DOI: 10.3389/fphys.2021.699291
Abstract: In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to the isolation of the pulmonary veins, fibrotic sites are considered… read more here.
Keywords: machine learning; signals hybrid; vivo; tissue ... See more keywords