TY - BOOK AU - Sánchez Arciniegas, Jorge Patricio PY - 2022 TI - A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy AB - 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.Umfang: XVIII, 129 S.Preis: 40.00 € PB - KIT Scientific Publishing CY - Karlsruhe KW - Vorhofflimmern KW - Fibrose KW - maschinelles Lernen KW - Bidomain KW - Modellierung des Herzens KW - atrial fibrillation KW - fibrosis KW - machine learning KW - bidomain KW - cardiac modeling SN - 978-3-7315-1170-0 DO - 10.5445/KSP/1000143481 SE - 162