The ECG remains the cornerstone of arrhythmia diagnosis, even after an explosion of technology and rapid expansion of our understanding of arrhythmia mechanisms. While many traditional textbooks emphasize cataloguing arrhythmias and pattern recognition, this book by internationally recognized professor George J. Klein, MD, presents a universally applicable systematic approach to ECG arrhythmia diagnosis based on careful measurement and identification of key events and exploring their expected electrophysiological underpinnings. There is fundamentally no difference in the principles and strategies behind understanding the ECG and intracardiac tracings—both are absolutely complementary. Over 90 case studies with tracings in full landscape format are used to highlight important principles, with each case providing an important diagnostic “tip” or teaching point.A multiple-choice question is provided with each tracing not only to “frame the problem” for the reader but to provide some practice and strategies for answering cardiology board examination-type questions.An important book that paves the way to understanding ECGs when preparing for board or certification exams. The book is meant for serious students of arrhythmias, be they cardiology or electrophysiology trainees or established physicians.

From master teacher George J. Klein, MD, this stepwise book is for those with a working knowledge of electrophysiology who have looked at a complicated ECG or intracardiac tracing and drawn a blank, not recognizing a pattern from their personal experience, and without a good idea of how to proceed or venturing a guess with variable confidence. Dr. Klein presents strategies that he has found useful, not just by providing an “answer,” but also exploring how he solved the problem with a systematic approach using “tools” of analysis that applies to both ECGs and EGM tracings.

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.

From senior electrophysiologist and world-class educator George Klein, a fully illustrated guide with over 100 intracardiac tracings and figures that allow the physician to approach electrophysiologic problems effectively and systematically. The book is especially focused on electrophysiological maneuvers and provides a clear and understandable guide to their proper selection and interpretation using abundant clinical examples. Defines the integral role for "traditional" electrogram (EGM) analysis in order to understand the mechanism of a tachycardia. It goes without saying that a correct arrhythmia diagnosis is a prerequisite to catheter ablation regardless of the presence of sophisticated mapping and imaging technologies. Electrophysiological maneuvers are fundamental to this process, and proper selection and interpretation of maneuvers constitute a core skill of the electrophysiologist. In this volume, we make the case that most maneuvers are fundamentally similar in principle and can be understood by appreciating a few basic physiological and anatomical principles. The art lies not in a comprehensive knowledge by rote of every maneuver or its application, but rather a systematic approach using common principles. We illustrate this by showing abundant examples and emphasizing the "game plan," including checklists that can be applied to virtually any maneuver. —George J. Klein In my opinion, this book should be on the shelf of every electrophysiologist trainee as well as every clinical cardiac electrophysiologist. It is a classic, like its editor. Dr. Klein deserves high praise for organizing his and his colleagues’ clinical experiences and thought processes into a concise, practical text that should be part of all training programs in electrophysiology. —From the foreword by Mark E. Josephson, MD

Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.

A significantly expanded third edition, this book provides a comprehensive and concise overview of cardiac arrhythmias and their ECG/telemetry manifestations, including the principles of cardiac electrophysiology, current concepts of pharmacology, clinical features, diagnoses, and state-of-the-art treatments. Additionally, the book emphasizes decision-making strategies in approaching each individual patient and the application of technical innovations in specific clinical situations. Organized into eight parts, beginning chapters introduce the concepts and principles of cardiac electrophysiology, unique rhythms, and ECG waves/signs. These chapters are designed to integrate emerging knowledge in basic science and clinical medicine. Subsequent chapters focus on the diagnosis of a variety of cardiac arrhythmias using non-invasive methodology. Throughout the book, chapters continue to analyze pharmacological and other approaches to therapy of specific arrhythmias, including supraventricular tachycardias, atrial fibrillation and flutter, ventricular arrhythmias, and bradyarrhythmias. Finally, the book closes with coverage on inherited cardiac arrhythmia syndromes including the long, short QT, and J-wave syndromes, catecholaminergic polymorphic ventricular tachycardia, and arrhythmogenic right ventricular cardiomyopathy. The third edition of Management of Cardiac Arrhythmias, is an essential resource for physicians, residents, fellows, and medical students in cardiology, cardiac surgery, vascular surgery, cardiac electrophysiology, and cardiac radiology.

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.