Formation Of Intracardiac Electrograms Under Physiological And Pathological Conditions

This work presents methods to advance electrophysiological simulations of intracardiac electrograms (IEGM). An experimental setup is introduced, which combines electrical measurements of extracellular potentials with a method for optical acquisition of the transmembrane voltage in-vitro. Thereby, intracardiac electrograms can be recorded under defined conditions. Using experimental and clinical signals, detailed simulations of IEGMs are parametrized, which can support clinical diagnosis.

This work presents methods to advance electrophysiological simulations of intracardiac electrograms (IEGM). An experimental setup is introduced, which combines electrical measurements of extracellular potentials with a method for optical acquisition of the transmembrane voltage in-vitro. Thereby, intracardiac electrograms can be recorded under defined conditions. Using experimental and clinical signals, detailed simulations of IEGMs are parametrized, which can support clinical diagnosis. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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.

ECG imaging was performed in humans to reconstruct ventricular activation patterns and localize their excitation origins. The precision of the non-invasive reconstructions was evaluated against invasive measurements and found to be in line with the state-of-the-art literature. Statistics were produced for various excitation origins and reveal the beat-to-beat robustness of the imaging method.

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.

Following the huge success of previous editions,Electrophysiological Testing 4th edition is the must haveresource for students, residents, cardiology fellows, primary carephysicians, cardiologists, nurses, and technicians becauseit: clarifies the role of electrophysiology in the evaluation ofcardiac arrhythmias discusses advances in therapeutic electrophysiology keeping youcompletely up to date provides clear summaries of complex topics is written in a user-friendly and understandable writing styleto make the information easy to digest and recall includes an entirely new chapter on the key field of CardiacResynchronisation Reviews of previous edition: “Many times I have found that EP literature is verytied to research results and bogs down the primary topic and makesit difficult to understand. This book explains EP in plain English!I think it is in a class by itself." EP Technician, GalichiaHeart Hospital, Wichita, KS, USA "It gives a good understanding of EP without getting tootechnical and complex in the explanations. It accomplishes a majortask of “demystifying” the field of EP. It not onlyaddresses the needs of non technical EP Personnel, but alsoprovides a precise overview of EP for general review.”Cardiac NP, St. Jude's Medical Center