A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation A Translational Study to Guide Ablation Therapy

The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to chara...

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Main Author: Patricio Sánchez Arciniegas, Jorge (auth)
Format: Electronic Book Chapter
Language:English
Published: Karlsruhe KIT Scientific Publishing 2022
Series:Karlsruhe transactions on biomedical engineering
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Detailed multiscale models were used to study the effect of structural remodeling induced at the cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the substrate. 
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653 |a Vorhofflimmern 
653 |a Fibrose 
653 |a maschinelles Lernen 
653 |a Bidomain 
653 |a Modellierung des Herzens 
653 |a atrial fibrillation 
653 |a fibrosis 
653 |a machine learning 
653 |a bidomain 
653 |a cardiac modeling 
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