A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy
Produktinformationen "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 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.
| Autor: | Sánchez Arciniegas, Jorge Patricio |
|---|---|
| ISBN: | 9783731511700 |
| Verlag: | KIT Scientific Publishing |
| Sprache: | Englisch |
| Seitenzahl: | 162 |
| Produktart: | Kartoniert / Broschiert |
| Erscheinungsdatum: | 30.05.2022 |
| Verlag: | KIT Scientific Publishing |
| Schlagworte: | Bidomain Fibrose MEDICAL / General Medizin, Gesundheit Medizin, allgemein Modellierung des Herzens Vorhofflimmern atrial fibrillation bidomain cardiac modeling fibrosis machine learning maschinelles Lernen |