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

Jorge Patricio Sánchez Arciniegas (Autor)

Buch | Softcover

162 Seiten

2022
KIT Scientific Publishing (Verlag)
978-3-7315-1170-0 (ISBN)

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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.

Erscheinungsdatum	07.06.2022
Reihe/Serie	Karlsruhe transactions on biomedical engineering / Ed.: Karlsruhe Institute of Technology / Institute of Biomedical Engineering ; 25
Zusatzinfo	graph. Darst.
Sprache	englisch
Maße	148 x 210 mm
Gewicht	310 g
Themenwelt	Medizin / Pharmazie ► Allgemeines / Lexika
Schlagworte	Atrial Fibrillation • Bidomain • Cardiac Modeling • Fibrose • Fibrosis • machine learning • Maschinelles Lernen • Modellierung des Herzens • Vorhofflimmern
ISBN-10	3-7315-1170-3 / 3731511703
ISBN-13	978-3-7315-1170-0 / 9783731511700
Zustand	Neuware