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Cardiology Science and Technology
Cardiology Science and Technology comprehensively deals with the science and biomedical engineering formulations of cardiology. As a textbook, it addresses the teaching, research, and clinical aspects of cardiovascular medical engineering and computational cardiology. The books consists of two sections. The first section deals with left ventricular
A Clinical Approach to Medicine
In this new edition of A Clinical Approach to Medicine, the editor has assembled a panel of leading clinicians and researchers, and reorganized the material in the key areas of medicine, cardiology, endocrinology, gastroenterology, hematology, neurology, oncology, rheumatology, renal medicine and respiratory medicine. This book is unique -- it reflects the experience of leading experts on patterns of disease in the Asia-Pacific region. There are several other similar books, but those are by authors from the West and therefore offer a different perspective. The book also includes discussions on genetic diseases, infection and antimicrobial resistance to antibiotics, highlighting local incidences and statistics. Each chapter starts with the basic concepts of a particular topic and gradually develops the theme to present the state of the art in the topic. With its focus on practices unique to Asia-Pacific, this book is a must for the student, practicing clinician and research scientist interestedin the latest developments in this part of the world.
Computational Cardiovascular Mechanics
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.
Advances in Cardiac Signal Processing
This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.
Cardiac Perfusion And Pumping Engineering
For the first time, this invaluable book shows how cardiac perfusion and pumping can be quantified and correlated. Self-contained and unified in presentation, the explanations in the compendium are detailed enough to capture the reader's curiosity and complete enough to provide the background material to explore further into the subject.Mathematically rigorous and clinically oriented, the book is a major resource for biomedical engineers, cardiologists, cardiac surgeons and clinicians. For students, it is an ideal textbook for senior-level courses in cardiovascular engineering.
Biosignal Processing
This book explains the principles of biosignal processing and its practical applications using MATLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, discretization, electrodes, time and frequency analysis, analog and digital filters, fourier transformation, z-transformation, pattern recognition, statistical data analysis, physiological modelling and applications ( EEG, EKG, EMG, PPG).
Artificial Intelligence for Smart Healthcare
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.
Machine Learning in Medical Imaging
This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging.
