Heart failure affects over 5 million patients in the United States alone, and is a chronic and debilitating disease. While a number of pharmacologic therapies have shown varying degrees of effectiveness, many recent advances in the treatment of heart failure has focused on device based therapies. In Device Therapy in Heart Failure, William H. Maisel and a panel of authorities on the use and implementation of device based therapies provide a comprehensive overview of the current and developing technologies that are used to treat heart failure. Individual chapters provide an in-depth analysis of devices such as CRT's and ICD's, while broader topics such as the pathophysiology of heart failure and its current medical therapies are also discussed. Additional topics include Pacing and Defibrillation for Atrial Arrhythmias, Atrial Fibrillation Ablation, and Percutaneous Treatment of Coronary Artery Disease.

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"Covers its subject well, provides useful context, and makes lively reading for anyone interested in the history of technology, the social context of electricity and radioactive materials, or the history of alernative medicine."--"Technology and Culture"

"Not only provides a richly detailed and suprising account of long-forgotten artifacts, but also fleshes out the longer history of some still-familiar attitudes toward health and vitality."
--"Journal of Social History"

"De la Pena's fascinating study melds social history with material culture and the history of science and technology to explain Americans' enthusiastic embrace of modern mechanization and emergent industrial culture."
--"CHOICE"

"In this engaging and well-written study Carolyn Thomas de la Pena offers a detailed cultural history of the medical-technological interface in the period 1850-1940, and in so doing tells us a great deal about how the body and its relation to modernity were conceived."
--"American Historical Review"

"Exellent. Carolyn de la Pena's superbly researched project examines how Americans in the period between 1870 and 1935 sought to supplement their physical energy through engagement with a variety of popular health technologies, including muscle-building machines: electrical invigorators, such as belts and collars: and radioactive elixirs."
--"American Quarterly"

"It's an irresistible account of fads and fascinating foibles, including electric belts and radioactive tonics."
--"Christian Science Monitor"

"Transforming archival research into sparkling prose, "The Body Electric" explains how Americans learned to usemachines to seek health, sexual rejuvenation, and physical transformation. This innovative book is both an entertaining history of fads and foibles and a groundbreaking cultural critique of the continuing obsession with achieving physical perfection."
--David E. Nye, author of "Electrifying America and America as Second Creation"

""The Body Electric" is the so-far missing puzzle piece in our nineteenth-twentieth century knowledge of the social history of the human body and technology a richly illustrated study showing two centuries of technologizing the human body against fears of weakness, enervation, sexual depletion."
--Cecelia Tichi, author of "Shifting Gears: Technology, Literature, Culture in Modernist America"

Between the years 1850 and 1950, Americans became the leading energy consumers on the planet, expending tremendous physical resources on energy exploration, mental resources on energy exploitation, and monetary resources on energy acquisition. A unique combination of pseudoscientific theories of health and the public's rudimentary understanding of energy created an age in which sources of industrial power seemed capable of curing the physical limitations and ill health that plagued Victorian bodies. Licensed and "quack" physicians alike promoted machines, electricity, and radium as invigorating cures, veritable "fountains of youth" that would infuse the body with energy and push out disease and death.

The Body Electric is the first book to place changing ideas about fitness and gender in dialogue with the popular culture of technology. Whether through wearing electric belts, drinking radium water, or lifting mechanized weights, many Americans came to believethat by embracing the nation's rapid march to industrialization, electrification, and "radiomania," their bodies would emerge fully powered. Only by uncovering this belief's passions and products, Thomas de la PeAa argues, can we fully understand our culture's twentieth-century energy enthusiasm.

Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

This book provides an overview of new mathematical models, computational simulations and experimental tests in the field of biomedical technology, and covers a wide range of current research and challenges. The first part focuses on the virtual environment used to study biological systems at different scales and under multiphysics conditions. In turn, the second part is devoted to modeling and computational approaches in the field of cardiovascular medicine, e.g. simulation of turbulence in cardiovascular flow, modeling of artificial textile-reinforced heart valves, and new strategies for reducing the computational cost in the fluid-structure interaction modeling of hemodynamics. The book's last three parts address experimental observations, numerical tests, computational simulations, and multiscale modeling approaches to dentistry, orthopedics and otology. Written by leading experts, the book reflects the remarkable advances that have been made in the field of medicine, the life sciences, engineering and computational mechanics over the past decade, and summarizes essential tools and methods (such as virtual prototyping of medical devices, advances in medical imaging, high-performance computing and new experimental test devices) to enhance medical decision-making processes and refine implant design. The contents build upon the International Conference on Biomedical Technology 2015 (ICTB 2015), the second ECCOMAS thematic conference on Biomedical Engineering, held in Hannover, Germany in October 2015.

Healthcare sectors often deal with a large amount of data related to patients' care and hospital workforce management. Mistakes occur, and the impending results are disastrous for individuals' personal identity information. However, an innovative and reliable way to safeguard the identity of individuals and provide protection of medical records from criminals is already in effect. Design and Implementation of Healthcare Biometric Systems provides innovative insights into medical identity theft and the benefits behind biometrics technologies that could be offered to protect medical records from hackers and malicious users. The content within this publication represents the work of ASD screening systems, healthcare management, and patient rehabilitation. It is designed for educators, researchers, faculty members, industry practitioners, graduate students, and professionals working with healthcare services and covers topics centered on understanding the practical essence of next-generation healthcare biometrics systems and future research directions.

Interest in the therapeutic value of embryonic, fetal and adult stem cell types is rapidly expanding throughout the scientific community. The first half of this century should see an explosion of therapeutic applications of stem cells which will grow from the cells and techniques described in this book. Stem Cell Culture provides a comprehensive resource for researchers in the fields of embryonic, fetal and adult stem cell biology to find methods for the purification, culture, and differentiation of these cell types, with the main emphasis on the maintenance of the stem cell phenotype in vitro. This volume will be the first to broadly cover multiple types of stem cell culture from different ages, organs and species. Chapters focus on the practical do's and don'ts of isolating and culturing these cell types, and use illustrative data or diagrams that allow the reader to confidently apply techniques and make this a standard reference.
*Compares and contrasts a broad range of species and stem cell types.
*Describes techniques in stem cell research, and goes beyond just protocols by presenting methods within perspective of recent literature reviews.
*Delineates critical steps and potential pitfalls for each method, provided by at-the-bench authors for expert information.
*Covers specific procedures in dealing with Human Embryonic Stem Cells, but also emphasizes other sources of potentially therapeutic stem cells such as amniotic fluid, adult muscle and adipose tissue, and umbilical cord.

The National Institute for Health and Clinical Excellence (NICE) has been regarded as a role model for the implementation of cost-effectiveness analysis (CEA), and is being closely watched by health care policy makers across the globe. This book examines Britain 's highly acclaimed approach to CEA and its international potential. It dissects the robustness of the agency 's technology appraisal processes as NICE evaluates innovative methods for diagnosis and intervention. Coverage provides a step-by-step explanation of the NICE appraisal process and examines its successes and limitations.

This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.

This book provides an overview of modern sensing technologies and reflects the remarkable advances that have been made in the field of intelligent and smart sensors, environmental monitoring, health monitoring, and many other sensing and monitoring contexts in today's world. It addresses a broad range of aspects, from human health monitoring to the monitoring of environmental conditions, from wireless sensor networks and the Internet of Things to structural health monitoring. Given its breadth of scope, the book will benefit researchers, practitioners, technologists and graduate students involved in the monitoring of systems within the human body, functions and activities, healthcare technologies and services, the environment, etc.

Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.

This cutting-edge book explores recent progress in the microelectronics arena. It examines the resultant miniaturization of component device features to nanometer size particles, and the ensuing growth in the development and use of microchip-based techniques in leading laboratories around the world. In the sixteen chapters of this volume, leading scientists present technically precise microchip-based assays for a variety of applications.

With data from the United States and Europe, Jon Miller and Linda Kimmel examine the public's understanding of and attitude toward biotechnology and biomedicine while they present methods of introducing cutting edge science to the
nonscientist. Biomedical Communications illustrates how vital it is for researchers, journalists, and policy makers to clearly communicate their findings in a way that avoids general misconception or confusion. The authors explore how to acquire information about biomedical policy, discuss strategies for informing consumers, and present tactics for improving biomedical communication with the public.
TOPICS COVERED:
* Using Research to Improve Biomedical Communications
* The Public Understanding of Biomedical Science
* Strategies for Communications to Consumers
* Public Attitudes Toward Biotechnology Issues

Despite blockchain being an emerging technology that is mainly applied in the financial and logistics domain areas, it has great potential to be applied in other industries to generate a wider impact. Due to the need for social distancing globally, blockchain has great opportunities to be adopted in digital health including health insurance, pharmaceutical supply chain, remote diagnosis, and more. Revolutionizing Digital Healthcare Through Blockchain Technology Applications explores the current applications and future opportunities of blockchain technology in digital health and provides a reference for the development of blockchain in digital health for the future. Covering key topics such as privacy, blockchain economy, and cryptocurrency, this reference work is ideal for computer scientists, healthcare professionals, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach. Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage. As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.

Recent advances in drug discovery have been rapid. The second edition of Bioinformatics and Drug Discovery has been completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway analysis. Each chapter provides an extended introduction that describes the theory and application of the technology. In the second part of each chapter, detailed procedures related to the use of these technologies and software have been incorporated. Written in the highly successful Methods in Molecular Biology (TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Bioinformatics and Drug Discovery, Second Edition seeks to aid scientists in the further study of the rapidly expanding field of drug discovery.

Bioinformatics as a discipline has come of age, and there are now numerous databases and tools that are widely used by researchers in the biomedical field. However, successful development of future bioinformatics applications will depend on an appropriately formalised representation of domain knowledge.

This book provides a timely and first-of-its-kind collection of contributed chapters on anatomy ontologies. It is interdisciplinary in its approach, bringing together relevant expertise from computing and biomedical studies, and covering both theoretical and applied aspects, with an emphasis on newer work relevant to the emerging Semantic Web.

Topics and Features:

a [ Provides a comprehensive discussion of the foundations of anatomical ontologies and the state of the art in existing computational tools and applications

a [ Considers a number of fundamental modelling principles

a [ Includes chapters about research on algorithms to systematically align anatomy ontologies and to mine data in the literature, using anatomy terms

a [ Explains recent efforts to develop a common anatomy reference ontology

a [ Discusses anatomy in the context of spatio-temporal biomedical atlases

a [ Describes systems and tools for linking anatomy ontologies with each other and with other on-line resources, such as the biomedical literature

a [ Highlights the challenges of dealing with anatomy-based information on the Semantic Web

Although primarily written for readers who will be involved in developing the next generation of IT applications in the areas of life sciences, biomedical sciences and health care, this unique volume will be of interest to anyone who will furtherdevelop anatomy ontologies, who will use them, and who will be involved in the actual development of relevant (semantic) web applications.

A collection of both well-established and cutting-edge methods for investigating breast cancer biology not only in the laboratory, but also in clinical settings. These readily reproducible techniques solve a variety of problems, ranging from how to collect, store, and prepare human breast tumor samples for analysis, to analyzing cells in vivo and in vitro. Additional chapters address the technology of handling biopsies, new methods for analyzing genes and gene expression, markers of clinical outcome and progress, analysis of tumor-derived proteins and antigens, validating targets, and investigating the biology of newly discovered genes.

This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

The coupling of biological and electronic systems has in the past few years emerged as a field of increasing importance. Achievements like the cardiac pacemaker have paved the way for more sophisticated approaches, such as the lab-on-a-chip and DNA computers. This book presents reviews on some of the most promising projects in this interdisciplinary research field, covering topics from bioinformatics to biosensor technology.

In excess of 7 million people worldwide die of coronary heart disease each year. Only one-third of these heart attack victims recover completely. The remainder suffer the consequences of myocardial infarction and its ill fated remodeling process, resulting in chronic congestive heart failure. This malady alone is the leading cause of hospital admissions in the United States.

New breakthroughs in stem cell therapy and tissue engineering have promised to reverse this dismal outcome by cardiovascular repair. World authorities, including scientists and regulatory authorities, have joined in a collaborative effort to present for the reader the first collective review of stem cell therapy for the treatment of cardiovascular disease. These contributions in basic science, pre-clinical and clinical experience guided by the regulatory pathways, assure a rapid course of translational research and clinical trials.

The contents of this publication will become a prerequisite for those preparing to meet the challenges of this exciting and potentially rewarding field of stem cell research.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.