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Using Machine Learning to Characterize Atrial Fibrotic Substrate from Intracardiac Signals using a Hybrid in silico and in vivo Dataset

2021-03-01

Abstract excerpt

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 a suitable target for catheter ablation. However, it remains an open challenge to find fibrotic areas and to differentiate their density and transmurality. This st...

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Literature Corpus work
dc99ce51-df54-57a2-85ea-1af9863a1ef8
DOI
10.21203/rs.3.rs-254560/v1
Open publication

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Using Machine Learning to Characterize Atrial Fibrotic Substrate from Intracardiac Signals using a Hybrid in silico and in vivo DatasetDOI 10.21203/rs.3.rs-254560/v1
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