Download or read book Cardiovascular Computing Methodologies and Clinical Applications written by Spyretta Golemati and published by Springer. This book was released on 2019-02-12 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.

Download or read book Cardiovascular Computing methodologies and Clinical Applications written by Spyretta Golemati and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.

Download or read book Computational And Mathematical Methods In Cardiovascular Physiology written by Liang Zhong and published by World Scientific. This book was released on 2019-04-26 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cardiovascular diseases (CVD) including heart diseases, peripheral vascular disease and heart failure, account for one-third of deaths throughout the world. CVD risk factors include systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and diabetic status. Clinical trials have demonstrated that when modifiable risk factors are treated and corrected, the chances of CVD occurring can be reduced. This illustrates the importance of this book's elaborate coverage of cardiovascular physiology by the application of mathematical and computational methods.This book has literally transformed Cardiovascular Physiology into a STEM discipline, involving (i) quantitative formulations of heart anatomy and physiology, (ii) technologies for imaging the heart and blood vessels, (iii) coronary stenosis hemodynamics measure by means of fractional flow reserve and intervention by grafting and stenting, (iv) fluid mechanics and computational analysis of blood flow in the heart, aorta and coronary arteries, and (v) design of heart valves, percutaneous valve stents, and ventricular assist devices.So how is this mathematically and computationally configured landscape going to impact cardiology and even cardiac surgery? We are now entering a new era of mathematical formulations of anatomy and physiology, leading to technological formulations of medical and surgical procedures towards more precise medicine and surgery. This will entail reformatting of (i) the medical MD curriculum and courses, so as to educate and train a new generation of physicians who are conversant with medical technologies for applying into clinical care, as well as (ii) structuring of MD-PhD (Computational Medicine and Surgery) Program, to train competent medical and surgical specialists in precision medical care and patient-specific surgical care.This book provides a gateway for this new emerging scenario of (i) science and engineering based medical educational curriculum, and (ii) technologically oriented medical and surgical procedures. As such, this book can be usefully employed as a textbook for courses in (i) cardiovascular physiology in both the schools of engineering and medicine of universities, as well as (ii) cardiovascular engineering in biomedical engineering departments worldwide.

Download or read book Computational Cardiovascular Mechanics written by Julius M. Guccione and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD). Edited by experts in the field, researchers involved with biomedical and mechanical engineering will find Computational Cardiovascular Mechanics a valuable reference.

Download or read book Personalized Health Systems for Cardiovascular Disease written by Anna Maria Bianchi and published by Academic Press. This book was released on 2022-01-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Health Systems for Cardiovascular Disease is intended for researchers, developers, and designers in the field of p-health, with a specific focus on management of cardiovascular diseases. Biomedical engineers will benefit from coverage of sensors, data transmission, signal processing, data analysis, home and mobile applications, standards, and all other subject matters developed in this book in order to provide an integrated view of the different and multidisciplinary problems related to p-health systems. However, many chapters will also be interesting to physicians and other professionals who operate in the health domain. Students, MS and PhD level, mainly in technical universities, but also in medical schools, will find in this book a complete view of the manifold aspects of p-health, including technical problems related to sensors and software, to automatic evaluation and correct interpretation of the data, and also some legal and regulatory aspects. This book mainly focuses on the development of technology used by people and patients in the management of their own health. New wearable and implantable devices allow a continuous monitoring of chronic patients, with a direct involvement of clinical centers and physicians. Also, healthy people are more and more interested in keeping their own wellness under control, by adopting healthy lifestyles and identifying any early sign of risk. This is leading to personalized solutions via systems which are tailored to a specific patient/person and her/ his needs. However, many problems are still open when it comes to p-health systems. Which sensors and parameters should be used? Which software and analysis? When and how? How do you design an effective management plan for chronic pathologies such as cardiovascular diseases? What is useful feedback for the patient or for the clinician? And finally, what are the limits of this approach? What is the view of physicians? The purpose of this book is to provide, from a technical point of view, a complete description of most of the elements which are part of such systems, including the sensors and the hardware, the signal processing and data management procedures, the classification and stratification models, the standards and the regulations, focusing on the state of the art and identifying the new directions for innovative solutions. In this book, readers will find the fundamental elements that must be taken into account when developing devices and systems in the field of p-health. Provides an integrated approach to design and development of p-health systems which involves sensors, analysis software, user interfaces, data modeling, and interpretation. Covers standards and regulations on data privacy and security, plus safe design of devices. Supported by case studies discussing development of actual solutions in the biomedical engineering field.

Download or read book Clinical Application of Computational Mechanics to the Cardiovascular System written by T. Yamaguchi and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vascular diseases, particularly atherosclerosis, are the most frequent and critical underlying fatal disorders in the industrialized world. Cardiovascular deaths are the leading cause of death in the Western world. Although cancer or malignant neoplasms recently have topped the list of causes of deaths in Japan, cardiovascular and cerebrovascular diseases bring about more deaths than cancer if they are reclassified into a unified category of diseases of the vascular system. The National Cardiovascular Center was established by the Ministry of Health and Welfare of Japan to combat cardiovascular and cerebrovascular diseases. Since the Center was opened, we have continued to support basic and clinical sturlies of cardiovascular and cerebrovascular diseases within as weil as outside the Center. Clinical studies that we have supported in modern diagnostic and therapeutic measures against cardio- and cerebrovascular diseases have made remarkable advances in recent years, especially in medical imaging technology including CT and MRI, and in interventional measures including balloon angioplasty and other catheter-based treatments. We are proud of the significant improvement in the overall survival rate and the quality of life of patients suffering from vascular disorders. However, there are still many essential difficulties remaining in the diagnosis and treatment of vascular disorders. Such difficulties necessitate further fundamental studies not only from the practical aspect but also from the integrated perspectives of medicine, biology, and engineering.

Download or read book Artificial Intelligence in Medicine written by Lei Xing and published by Academic Press. This book was released on 2020-09-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Download or read book Medical Imaging Systems Techniques and Applications Cardiovascular systems written by Cornelius T. Leondes and published by Taylor & Francis. This book was released on 1997 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref and published by Academic Press. This book was released on 2020-11-20 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Download or read book Medical Imaging Systems Techniques and Applications written by Cornelius T Leondes and published by Routledge. This book was released on 2014-03-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2004. This is Volume I of six of a series on medical imaging systems techniques and applications. This subject area exemplifies a meaningful manifestation of the power of the technologies of the second industrial revolution. The first chapter in this volume on cardiovascular systems emphasizes the importance of accurate measurements of cardiac shape and dynamics as they reflect the scope of cardiac diseases, the major cause of mortality in developed countries today. Cardiac imaging plays an important role in this regard, and almost the only one in this clinical context.

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref, M.D. and published by Academic Press. This book was released on 2020-12-11 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Download or read book Mathematical Modelling of the Human Cardiovascular System written by Alfio Quarteroni and published by Cambridge University Press. This book was released on 2019-05-09 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the mathematical and numerical modelling of the human cardiovascular system, from patient data to clinical applications.

Download or read book Databases for Cardiology written by Geert T. Meester and published by Springer Science & Business Media. This book was released on 1991 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: One: Basic approaches.- 1. Introduction to basic concepts on methods and techniques for Databases.- 2. Observational databases: a clinical perspective.- Two: Tools and services.- 1. Advanced instruments and methods for the development of databases applied to cardiology.- 2. A query language for medical statistical analysis.- 3. Enhancing relational database management systems by applying artificial intelligence techniques.- 4. Electronic information in cardiology: review of external databases and services.- 5. Computer-aided clinical problem solving as an educational paradigm for teaching preclinical cardiac pathophysiology.- 6. Continuing education of physicians and nurses in the DBMS area.- Three: Subject-oriented databases.- 1. The ARTEMIS data and knowledge base for hypertension.- 2. Databases for prevention, pacemaker and postoperative treatment: the charité experience in cardiology.- 3. Development of and experience with the coronary angiography and PTCA information systems at Leuven University.- 4. A database for the follow-up of heart transplant patients.- 5. The K.U. Leuven Coronary Surgery Data Base: a clinical research data base.- 6. Clinical results with computer support of the decisions (in the cardiosurgical intensive care unit).- 7. A pediatric cardiology diagnostic coding system and database.- 8. Databases and decision system for diagnosis of congenital heart disease.- 9. Practical PC-based data management in paediatric cardiology.- Four: Departmental applications.- 1. Patient documentation for the ultrasound laboratory.- 2. A research-oriented database management system for Holter data.- 3. A database management system of coronary care unit data.- 4. Information management for decision making by critical care physicians and nurses.- 5. Practical data management in the Cardiology Department of a City Hospital.- 6. A PC-based implementation of a multi-service software for cardiology.- 7. An out-patient clinical data base management system.- 8. Databases for network systems.- 9. CADANS: the nervous system for cardiology.- Inde.

Download or read book Predicting Heart Failure written by Kishor Kumar Sadasivuni and published by John Wiley & Sons. This book was released on 2022-04-04 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find: Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure Discussion of the risks and issues associated with the remote monitoring system Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations. Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.

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

Download or read book Diabetes and Cardiovascular Disease written by Ayman S. El-Baz and published by Elsevier. This book was released on 2021-03-23 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provide a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular disease Discusses the impact of diabetes on cardiovascular disease Covers statistical classification techniques and risk stratification

Download or read book Cardiovascular Engineering written by Dyah Ekashanti Octorina Dewi and published by Springer Nature. This book was released on 2019-08-21 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent technological advances, reviews and applications in the field of cardiovascular engineering, including medical imaging, signal processing and informatics, biomechanics, as well as biomaterials. It discusses the use of biomaterials and 3D printing for tissue-engineered heart valves, and also presents a unique combination of engineering and clinical approaches to solve cardiovascular problems. This book is a valuable resource for students, lecturers and researchers in the field of biomedical engineering.