TY - BOOK ID - 145676686 TI - A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy PY - 2022 PB - Karlsruhe KIT Scientific Publishing DB - UniCat KW - Electrical engineering 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 UR - https://www.unicat.be/uniCat?func=search&query=sysid:145676686 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. ER -