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Author: Ling Xia
Publisher: Frontiers Media SA
Published: 2022-03-07
Total Pages: 153
ISBN-13: 2889745945
DOWNLOAD EBOOKDownload or read book Multi-Scale Computational Cardiology written by Ling Xia and published by Frontiers Media SA. This book was released on 2022-03-07 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Francisco Sahli
Publisher:
Published: 2019
Total Pages:
ISBN-13:
DOWNLOAD EBOOKIn the United States, almost half a million people die each year as a result of cardiac arrhythmias. These diseases comprise a number of abnormal rhythms, where the electrical activity of the heart is disturbed. Despite decades of research, the mechanisms by which arrhythmias develop remain poorly explained. One of the main challenges is that even though arrhythmias appear at the organ level, they can be triggered by sub-cellular changes, creating an inherently multi-scale problem. Computational models can bridge across scales to provide mechanistic understanding of these conditions. This thesis elaborates on the development of these models and their applicability to different types of arrhythmias. We study how different components of these models affect their response and the consequences of clinical applications. Moreover, we develop a high resolution, multi-scale model of the heart. We model from the ionic channels in the cell, to the different distributions of cell populations, to the entire heart. This tool allow us to study, for example, the development of drug-induced arrhythmias, where if specific ionic channels are blocked, arrhythmias appear spontaneously. We also apply machine learning techniques to extract knowledge and alleviate the computational cost of these high resolution models. We anticipate the newly developed models and methodologies will help to elaborate mechanistic explanations of the development of arrhythmias and elucidate new treatments.
Download or read book Multi-scale Modeling of Cardiac Arrhythmias written by Francisco Sahli and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, almost half a million people die each year as a result of cardiac arrhythmias. These diseases comprise a number of abnormal rhythms, where the electrical activity of the heart is disturbed. Despite decades of research, the mechanisms by which arrhythmias develop remain poorly explained. One of the main challenges is that even though arrhythmias appear at the organ level, they can be triggered by sub-cellular changes, creating an inherently multi-scale problem. Computational models can bridge across scales to provide mechanistic understanding of these conditions. This thesis elaborates on the development of these models and their applicability to different types of arrhythmias. We study how different components of these models affect their response and the consequences of clinical applications. Moreover, we develop a high resolution, multi-scale model of the heart. We model from the ionic channels in the cell, to the different distributions of cell populations, to the entire heart. This tool allow us to study, for example, the development of drug-induced arrhythmias, where if specific ionic channels are blocked, arrhythmias appear spontaneously. We also apply machine learning techniques to extract knowledge and alleviate the computational cost of these high resolution models. We anticipate the newly developed models and methodologies will help to elaborate mechanistic explanations of the development of arrhythmias and elucidate new treatments.
Author: Boris Ja. Kogan
Publisher: Springer Science & Business Media
Published: 2009-12-09
Total Pages: 236
ISBN-13: 0387766863
DOWNLOAD EBOOKIntroduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions. About this textbook: - Presents descriptions of models used in both biology and medicine for discovering the mechanisms of heart function and dysfunction on several physiological scales across different species. - Provides several examples throughout the textbook and exercises at the end which facilitate understanding of basic concepts and introduces, for implementation, treated problems to parallel supercomputers. Introduction to Computational Cardiology serves as a secondary textbook or reference book for advanced-level students in computer science, electrical engineering, biomedical engineering, and cardiac electrophysiology. It is also suitable for researchers employing mathematical modeling and computer simulations of biomedical problems.
Download or read book Introduction to Computational Cardiology written by Boris Ja. Kogan and published by Springer Science & Business Media. This book was released on 2009-12-09 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions. About this textbook: - Presents descriptions of models used in both biology and medicine for discovering the mechanisms of heart function and dysfunction on several physiological scales across different species. - Provides several examples throughout the textbook and exercises at the end which facilitate understanding of basic concepts and introduces, for implementation, treated problems to parallel supercomputers. Introduction to Computational Cardiology serves as a secondary textbook or reference book for advanced-level students in computer science, electrical engineering, biomedical engineering, and cardiac electrophysiology. It is also suitable for researchers employing mathematical modeling and computer simulations of biomedical problems.
Author: Mathias Wilhelms
Publisher: KIT Scientific Publishing
Published: 2014-05-22
Total Pages: 206
ISBN-13: 3731500450
DOWNLOAD EBOOKMultiscale 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.
Download or read book Multiscale Modeling of Cardiac Electrophysiology: Adaptation to Atrial and Ventricular Rhythm Disorders and Pharmacological Treatment written by Mathias Wilhelms and published by KIT Scientific Publishing. This book was released on 2014-05-22 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Amit Gefen
Publisher: Springer Science & Business Media
Published: 2014-07-08
Total Pages: 397
ISBN-13: 3642364829
DOWNLOAD EBOOKThis book reviews the state-of-the-art in multiscale computer modeling, in terms of both accomplishments and challenges. The information in the book is particularly useful for biomedical engineers, medical physicists and researchers in systems biology, mathematical biology, micro-biomechanics and biomaterials who are interested in how to bridge between traditional biomedical engineering work at the organ and tissue scales, and the newer arenas of cellular and molecular bioengineering.
Download or read book Multiscale Computer Modeling in Biomechanics and Biomedical Engineering written by Amit Gefen and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the state-of-the-art in multiscale computer modeling, in terms of both accomplishments and challenges. The information in the book is particularly useful for biomedical engineers, medical physicists and researchers in systems biology, mathematical biology, micro-biomechanics and biomaterials who are interested in how to bridge between traditional biomedical engineering work at the organ and tissue scales, and the newer arenas of cellular and molecular bioengineering.
Author: Martin Wolfgang Krüger
Publisher: KIT Scientific Publishing
Published: 2014-05-22
Total Pages: 320
ISBN-13: 3866449488
DOWNLOAD EBOOKThis 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.
Download or read book Personalized Multi-Scale Modeling of the Atria: Heterogeneities, Fiber Architecture, Hemodialysis and Ablation Therapy written by Martin Wolfgang Krüger and published by KIT Scientific Publishing. This book was released on 2014-05-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Tommaso Mansi
Publisher: Academic Press
Published: 2019-12
Total Pages: 274
ISBN-13: 012817594X
DOWNLOAD EBOOKArtificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Download or read book Artificial Intelligence for Computational Modeling of the Heart written by Tommaso Mansi and published by Academic Press. This book was released on 2019-12 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Author: Dimitrios I. Fotiadis
Publisher: John Wiley & Sons
Published: 2023-05-05
Total Pages: 404
ISBN-13: 1119517354
DOWNLOAD EBOOKMultiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.
Download or read book Multiscale Modelling in Biomedical Engineering written by Dimitrios I. Fotiadis and published by John Wiley & Sons. This book was released on 2023-05-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.
Author: Nagel, Claudia
Publisher: KIT Scientific Publishing
Published: 2023-04-24
Total Pages: 280
ISBN-13: 3731512815
DOWNLOAD EBOOKAn 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.
Download or read book Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms written by Nagel, Claudia and published by KIT Scientific Publishing. This book was released on 2023-04-24 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Daniel Joseph Canuto
Publisher:
Published: 2019
Total Pages: 129
ISBN-13:
DOWNLOAD EBOOKDespite continuing advances in computational power, full-body models of the human cardiovascular system remain a costly task. Two principal reasons for this cost are the total overall length of the vascular network (spanning O(10^8) m) and the broad range of length scales (from 10^ 2 to 10^ 6 m) involved. Multiscale modeling can be employed to overcome these issues; specifically, subsystems of higher spatial dimension representing domains of interest can be coupled at their boundaries to lower-dimensional subsystems that mimic relevant inflow/outflow conditions. Though this scheme can increase computational efficiency, the inherent reduction in spatial dimension results in parameterizations that can be difficult to optimize in patient-specific contexts. This work is divided into two parts: in the first segment, a closed-loop multiscale model of the entire cardiovascular system is developed and integrated with a feedback control model for blood pressure regulation. It is tested against clinical data for cohorts of healthy subjects, and its predictive utility is demonstrated in a simulation of acute hemorrhage from the upper leg. After validating the multiscale/reduced-order approach, a parameter optimization technique based on the ensemble Kalman filter (EnKF) is constructed. By assimilating patients' clinical measurements, this method is shown to successfully tune parameters in two models: a zero-dimensional model of the pulmonary circulation, and a multiscale 0D-1D model of the lower leg.
Download or read book Multiscale and Patient-Specific Cardiovascular Modeling written by Daniel Joseph Canuto and published by . This book was released on 2019 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite continuing advances in computational power, full-body models of the human cardiovascular system remain a costly task. Two principal reasons for this cost are the total overall length of the vascular network (spanning O(10^8) m) and the broad range of length scales (from 10^ 2 to 10^ 6 m) involved. Multiscale modeling can be employed to overcome these issues; specifically, subsystems of higher spatial dimension representing domains of interest can be coupled at their boundaries to lower-dimensional subsystems that mimic relevant inflow/outflow conditions. Though this scheme can increase computational efficiency, the inherent reduction in spatial dimension results in parameterizations that can be difficult to optimize in patient-specific contexts. This work is divided into two parts: in the first segment, a closed-loop multiscale model of the entire cardiovascular system is developed and integrated with a feedback control model for blood pressure regulation. It is tested against clinical data for cohorts of healthy subjects, and its predictive utility is demonstrated in a simulation of acute hemorrhage from the upper leg. After validating the multiscale/reduced-order approach, a parameter optimization technique based on the ensemble Kalman filter (EnKF) is constructed. By assimilating patients' clinical measurements, this method is shown to successfully tune parameters in two models: a zero-dimensional model of the pulmonary circulation, and a multiscale 0D-1D model of the lower leg.
