Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

Author: Nagel, Claudia

Publisher: KIT Scientific Publishing

Published: 2023-04-24

Total Pages: 280

ISBN-13: 3731512815

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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.

Arab Manpower (RLE Economy of Middle East)
Arab Manpower (RLE Economy of Middle East)

Author: J.S. Birks

Publisher: Routledge

Published: 2020-07-26

Total Pages: 354

ISBN-13: 1000155927

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The Arab world increasingly falls into two divisions, the capital-poor and the capital-rich countries (where capital means, in essence, oil). In the capital-rich countries shortage of labour is the chief constraint on growth. In the capital-poor countries analysis of the labour market is equally central, as shortage of labour compounds the already existing problem of shortage of capital. This book surveys the labour markets of the Arab world state by state, evaluating them by demand and supply analysis, and analysing the different elements in trends of employment. It forecasts the areas of stress in the next decade and suggests ways of minimising them. The book, based on much previously unpublished information and on extensive on-the-spot research in the respective Arab countries, sets out the economic and social conditions which underly the impending crisis of development in the Arab region. First published in 1980.

Multiscale Modeling of Cardiac Electrophysiology: Adaptation to Atrial and Ventricular Rhythm Disorders and Pharmacological Treatment
Multiscale Modeling of Cardiac Electrophysiology: Adaptation to Atrial and Ventricular Rhythm Disorders and Pharmacological Treatment

Author: Mathias Wilhelms

Publisher: KIT Scientific Publishing

Published: 2014-05-22

Total Pages: 206

ISBN-13: 3731500450

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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.

Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification, An Issue of Cardiac Electrophysiology Clinics, E-Book
Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification, An Issue of Cardiac Electrophysiology Clinics, E-Book

Author: Mohammad Shenasa

Publisher: Elsevier Health Sciences

Published: 2021-01-30

Total Pages: 297

ISBN-13: 0323827756

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This issue of Cardiac Electrophysiology Clinics, Guest Edited by Drs. Mohammad Shenasa, Prashanthan Sanders, and Stanley Nattel, is dedicated to Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification. This is one of four issues selected each year by the series Consulting Editors, Ranjan K. Thakur and Andrea Natale. Topics include, but are not limited to, Epidemiology of Atrial Fibrillation; Hypertension, Prehypertension, Hypertensive Heart Disease and Atrial Fibrillation; Pulmonary Disease, Pulmonary Hypertension and Atrial Fibrillation; Heart Failure with Preserved (HFpEF) and Reduced (HFrEF) LV Systolic Function, Diastolic Dysfunction; Coronary Artery Disease; ECG and Echo Abnormalities in Patients with Atrial Fibrillation Risk Factors; Diabetes and Endocrine Disorders; Obesity and Metabolic Syndrome in Atrial Fibrillation; Renal Disease; Sleep Apnea and Atrial Fibrillation; Channelopathies in Atrial Fibrillation; Implications of Inflammation and Myocardial Fibrosis in Atrial Fibrillation; Role of Biomarkers in Atrial Fibrillation; Left Ventricular Hypertrophy and Other Cardiomyopathies in Atrial Fibrillation; Atrial Fibrillation in Valvular Heart Disease; Atrial Fibrillation in Adult Congenital Heart Disease; Exercise and Athletic Activity in Atrial Fibrillation; Post-op Atrial Fibrillation; Autonomic Dysfunction and Neurohormonal Disorders in Atrial Fibrillation; Social Risk Factors; Atrial Fibrillation and Stroke; Screening for Atrial Fibrillation Risk Factors; Primary Care and Internists Perspective on Atrial Fibrillation Risk Factors; and Lifestyle as a Risk Factor for Atrial Fibrillation.

Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification, an Issue of Cardiac Electrophysiology Clinics, Volume 13-1
Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification, an Issue of Cardiac Electrophysiology Clinics, Volume 13-1

Author: Mohammad Shenasa

Publisher: Elsevier

Published: 2021-03-28

Total Pages: 240

ISBN-13: 9780323827744

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This issue of Cardiac Electrophysiology Clinics, Guest Edited by Drs. Mohammad Shenasa, Prashanthan Sanders, and Stanley Nattel, is dedicated to Risk Factors in Atrial Fibrillation: Appraisal of AF Risk Stratification. This is one of four issues selected each year by the series Consulting Editors, Ranjan K. Thakur and Andrea Natale. Topics include, but are not limited to, Epidemiology of Atrial Fibrillation; Hypertension, Prehypertension, Hypertensive Heart Disease and Atrial Fibrillation; Pulmonary Disease, Pulmonary Hypertension and Atrial Fibrillation; Heart Failure with Preserved (HFpEF) and Reduced (HFrEF) LV Systolic Function, Diastolic Dysfunction; Coronary Artery Disease; ECG and Echo Abnormalities in Patients with Atrial Fibrillation Risk Factors; Diabetes and Endocrine Disorders; Obesity and Metabolic Syndrome in Atrial Fibrillation; Renal Disease; Sleep Apnea and Atrial Fibrillation; Channelopathies in Atrial Fibrillation; Implications of Inflammation and Myocardial Fibrosis in Atrial Fibrillation; Role of Biomarkers in Atrial Fibrillation; Left Ventricular Hypertrophy and Other Cardiomyopathies in Atrial Fibrillation; Atrial Fibrillation in Valvular Heart Disease; Atrial Fibrillation in Adult Congenital Heart Disease; Exercise and Athletic Activity in Atrial Fibrillation; Post-op Atrial Fibrillation; Autonomic Dysfunction and Neurohormonal Disorders in Atrial Fibrillation; Social Risk Factors; Atrial Fibrillation and Stroke; Screening for Atrial Fibrillation Risk Factors; Primary Care and Internists Perspective on Atrial Fibrillation Risk Factors; and Lifestyle as a Risk Factor for Atrial Fibrillation.

A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy

Author: Sánchez Arciniegas, Jorge Patricio

Publisher: KIT Scientific Publishing

Published: 2022-05-30

Total Pages: 162

ISBN-13: 3731511703

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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.

Modeling Human Atrial Patho-Electrophysiology from Ion Channels to ECG - Substrates, Pharmacology, Vulnerability, and P-Waves
Modeling Human Atrial Patho-Electrophysiology from Ion Channels to ECG - Substrates, Pharmacology, Vulnerability, and P-Waves

Author: Loewe, Axel

Publisher: KIT Scientific Publishing

Published: 2016-08-03

Total Pages: 342

ISBN-13: 3731505282

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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.

Personalized Multi-Scale Modeling of the Atria: Heterogeneities, Fiber Architecture, Hemodialysis and Ablation Therapy
Personalized Multi-Scale Modeling of the Atria: Heterogeneities, Fiber Architecture, Hemodialysis and Ablation Therapy

Author: Martin Wolfgang Krüger

Publisher: KIT Scientific Publishing

Published: 2014-05-22

Total Pages: 320

ISBN-13: 3866449488

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This book targets three fields of computational multi-scale cardiac modeling. First, advanced models of the cellular atrial electrophysiology and fiber orientation are introduced. Second, novel methods to create patient-specific models of the atria are described. Third, applications of personalized models in basic research and clinical practice are presented. The results mark an important step towards the patient-specific model-based atrial fibrillation diagnosis, understanding and treatment.

Advances in Atrial Fibrillation Ablation, An Issue of Cardiac Electrophysiology Clinics
Advances in Atrial Fibrillation Ablation, An Issue of Cardiac Electrophysiology Clinics

Author: Luigi Di Biase

Publisher: Elsevier Health Sciences

Published: 2020-07-16

Total Pages: 153

ISBN-13: 032376200X

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In collaboration with the Consulting Editors, Ranjan K. Thakur and Andrea Natale, Drs. Luigi Di Biase, Frank Marchlinski, and Andrea Natale have assembled an issue of Cardiac Electrophysiology Clinics on Advances in Atrial Fibrillation Ablation. Topics include, but are not limited to, Recurrent atrial fibrillation with isolated PVs, Beyond PVI in non paroxysmal atrial fibrillation, Recurrent atrial fibrillation after cryo, Recurrent atrial fibrillation after RF, high-density mapping, Expectation and Results of surrogate target beyond PVI, Lessons from epicardial mapping and ablation in refractory atrial fibrillation, Evolution of radiofrequency ablation parameters, Balloon based technologies, Energy sources, Current status of esophageal protection, Fluoroless atrial fibrillation ablation, Role of MRI imaging before and after ablation, When to stop OAC after atrial fibrillation ablation, Atrial fibrillation ablation trials, Risk Factor modification before and after atrial fibrillation ablation.

Understanding Atrial Fibrillation
Understanding Atrial Fibrillation

Author: Luca Mainardi

Publisher: Morgan & Claypool Publishers

Published: 2008-12-05

Total Pages: 129

ISBN-13: 1598292978

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The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices