Download Free Modeling Human Atrial Patho Electrophysiology From Ion Channels To Ecg Substrates Pharmacology Vulnerability And P Waves Book in PDF and EPUB Free Download. You can read online Modeling Human Atrial Patho Electrophysiology From Ion Channels To Ecg Substrates Pharmacology Vulnerability And P Waves and write the review.

Half of the patients suffering from atrial fibrillation (AF) cannot be treated adequately, today. This book presents multi-scale computational methods to advance our understanding of patho-mechanisms, to improve the diagnosis of patients harboring an arrhythmogenic substrate, and to tailor therapy. The modeling pipeline ranges from ion channels on the subcellular level up to the ECG on the body surface. The tailored therapeutic approaches carry the potential to reduce the burden of AF.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
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.
Catheter ablation is a major treatment for atrial tachycardias. Hereby, the precise monitoring of the lesion formation is an important success factor. This book presents computational, wet-lab, and clinical studies with the aim of evaluating the signal characteristics of the intracardiac electrograms (IEGMs) recorded around ablation lesions from different perspectives. The detailed analysis of the IEGMs can optimize the description of durable and complex lesions during the ablation procedure.
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.
Half of the patients suffering from atrial fibrillation (AF) cannot be treated adequately, today. This book presents multi-scale computational methods to advance our understanding of patho-mechanisms, to improve the diagnosis of patients harboring an arrhythmogenic substrate, and to tailor therapy. The modeling pipeline ranges from ion channels on the subcellular level up to the ECG on the body surface. The tailored therapeutic approaches carry the potential to reduce the burden of AF. 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.
This revised edition offers guidance on evaluation and management of atrial fibrillation and describes pharmacological, electrophysical, and surgical therapies. Coverage includes revised chapters on echocardiography, anti-coagulant therapy, and catheter ablation, and new chapters on atrial flutter, basic electrophysiology of antiarrhythmic drugs, implantable atrial defibrillators, and conduction through the atrioventricular node. Also included are chapters on decision analysis in the treatment of atrial fibrillation and on the special problems of paroxysmal atrial fibrillation.
One of the most time-consuming tasks in clinical medicine is seeking the opinions of specialist colleagues. There is a pressure not only to make referrals appropriate but also to summarize the case in the language of the specialist. This book explains basic physiologic and pathophysiologic mechanisms of cardiovascular disease in a straightforward manner, gives guidelines as to when referral is appropriate, and, uniquely, explains what the specialist is likely to do. It is ideal for any hospital doctor, generalist, or even senior medical student who may need a cardiology opinion, or for that ma.
This book delineates the state of the art of the diagnosis and treatment of J wave syndromes, as well as where future research needs to be directed. It covers basic science, translational and clinical aspects of these syndromes. The authors are leading experts in their respective fields, who have contributed prominently to the literature concerning these topics. J wave syndromes are one of the hottest topics in cardiology today. Cardiac arrhythmias associated with Brugada syndrome (BrS) or an early repolarization (ER) pattern in the inferior or infero-lateral ECG leads are thought to be mechanistically linked to accentuation of transient outward current (Ito)-mediated J waves. Although BrS and ER syndrome (ERS) differ with respect to magnitude and lead location of abnormal J waves, they are thought to represent a continuous spectrum of phenotypic expression termed J wave syndromes. ERS is divided into three subtypes with the most severe, Type 3, displaying an ER pattern globally in the inferior, lateral and right precordial leads. BrS has been linked to mutations in 19 different genes, whereas ERS has been associated with mutations in 7 different genes. There is a great deal of confusion as to how to properly diagnose and treat the J wave syndromes as well as confusion about the underlying mechanisms. The demonstration of successful epicardial ablation of BrS has provided new therapeutic options for the management of this syndrome for which treatment alternatives are currently very limited, particularly in the case of electrical storms caused by otherwise uncontrollable recurrent VT/VF. An early repolarization pattern is observed in 2-5% of the US population. While it is clear that the vast majority of individuals exhibiting an ER pattern are not at risk for sudden cardiac death, the challenge moving forward is to identify those individuals who truly are at risk and to design safe and effective treatments.