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An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients.
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.
This book highlights the advancements in different fields of clinical electrophysiology and gives the reader a good background of the established practices. To tackle such a wide topic, the book focuses on two main aspects: ablation and pacing, discussing the novel energy sources and approaches to rhythm restoration and control; devices and signal processing, highlighting the new available technologies and numerical approaches aiding practice and home medicine. It also presents the reader with selected strategies that could be a paradigm shifts for the field: in situ cell reprogramming, exploiting the newly founded achievements in epigenetic modification of somatic cells; artificial intelligence; cardiac digital twinning, which aims to collect the information from imaging, mechanics and electrophysiology and condense it into a patient-specific model for personalized treatment.
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Multiscale modeling of cardiac electrophysiology helps to better understand the underlying mechanisms of atrial fibrillation, acute cardiac ischemia and pharmacological treatment. For this purpose, measurement data reflecting these conditions have to be integrated into models of cardiac electrophysiology. Several methods for this model adaptation are introduced in this thesis. The resulting effects are investigated in multiscale simulations ranging from the ion channel up to the body surface.AbstractEnglisch = Multiscale modeling of cardiac electrophysiology helps to better understand the underlying mechanisms of atrial fibrillation, acute cardiac ischemia and pharmacological treatment. For this purpose, measurement data reflecting these conditions have to be integrated into models of cardiac electrophysiology. Several methods for this model adaptation are introduced in this thesis. The resulting effects are investigated in multiscale simulations ranging from the ion channel up to the body surface.
With their very long range, the giant Type IX U-Cruisers gave Admiral Dnitz's U-boat fleet global reach. Initially these boats operated with considerable success off the East coast of America and in the Caribbean but their main impact was in the Gulf of Guinea 1942-43 which, due to the closure of the Suez Canal, was a vital Allied supply route. Two submarines in particular (U-68 and U-505) had a profound effect causing major panic by their hugely successful operations.