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

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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Detalles Bibliográficos
Otros Autores: Patricio Sánchez Arciniegas, Jorge (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Karlsruhe KIT Scientific Publishing 2022
Colección:Karlsruhe transactions on biomedical engineering
Materias:
Electrical engineering
Vorhofflimmern
Fibrose
maschinelles Lernen
Bidomain
Modellierung des Herzens
atrial fibrillation
fibrosis
machine learning
bidomain
cardiac modeling
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009666902706719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (162 p.)

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