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    • 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

    Band 25 von Karlsruhe transactions on biomedical engineering
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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.

    Umfang: XVIII, 129 S.

    Preis: 40.00 €

    Fächer:

    Elektrotechnik 

    Schlagwörter:

    Vorhofflimmern Fibrose maschinelles Lernen Bidomain Modellierung des Herzens atrial fibrillation fibrosis machine learning bidomain cardiac modeling

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    Empfohlene Zitierweise
    Sánchez Arciniegas, J. 2022. A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000143481
    Sánchez Arciniegas, J.P., 2022. A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000143481
    Sánchez Arciniegas, J P. A Multiscale in Silico Study to Characterize the Atrial Electrical Activity of Patients with Atrial Fibrillation : A Translational Study to Guide Ablation Therapy. KIT Scientific Publishing, 2022. DOI: https://doi.org/10.5445/KSP/1000143481
    Sánchez Arciniegas, J. P. (2022). A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000143481
    Sánchez Arciniegas, Jorge Patricio. 2022. A Multiscale in Silico Study to Characterize the Atrial Electrical Activity of Patients with Atrial Fibrillation : A Translational Study to Guide Ablation Therapy. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000143481



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    Veröffentlicht am 30. Mai 2022

    Sprache

    Englisch

    Seitenanzahl:

    162

    ISBN
    Paperback 978-3-7315-1170-0

    DOI
    https://doi.org/10.5445/KSP/1000143481