"This important book clearly explains how new smart devices and Internet-based technologies make it possible for healthcare providers and patients to work together to improve health in ways that are powerful and previously unimaginable"--page xi, Foreword.

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on 'daily life.' Contributors from various experts then discuss 'computer assisted anthropology,' CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. - Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications - Discusses big data and data mining in healthcare and other IoT based biomedical data analysis - Includes discussions on a variety of IoT applications and medical information systems - Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Laugh and learn with fun facts about eating healthy, being active, avoiding germs, and more—all told in Dr. Seuss’s beloved rhyming style and starring the Cat in the Hat! “I’m the Cat in the Hat and I’ve come here to say: to be healthy, be active—an hour each day.” The Cat in the Hat’s Learning Library series combines beloved characters, engaging rhymes, and Seussian illustrations to introduce children to non-fiction topics from the real world! Take care of yourself and learn why it’s important to: move your body every day eat colorful foods wash your hands and much more! Perfect for story time and for the youngest readers, Oh, the Things You Can Do That Are Good for You! also includes an index, glossary, and suggestions for further learning. Look for more books in the Cat in the Hat’s Learning Library series! Wacky Weather One Cent, Two Cents, Old Cent, New Cent Super-Dee-Dooper Book of Animal Facts Oh, the Pets You Can Get!

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

This book provides a dual perspective on the Internet of Things and ubiquitous computing, along with their applications in healthcare and smart cities. It also covers other interdisciplinary aspects of the Internet of Things like big data, embedded Systems and wireless Sensor Networks. Detailed coverage of the underlying architecture, framework, and state-of the art methodologies form the core of the book.

SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.

This book presents research findings about 50 foods that are commonly touted as healthy and educates readers about the medical problems they purportedly alleviate or help prevent. It is always in the best interest of those who market foods to make grandiose claims regarding their nutritional value, regardless of whether actual scientific proof exists to support such a claim. Even diligent and educated consumers often have difficulty discerning facts from mere theory or pure marketing hype. As the incidence of childhood obesity in the United States continues to increase at an alarming rate and food costs skyrocket, this book arrives at a perfect time for health-conscious consumers, providing an authoritative reference for anyone looking to make wise eating decisions at home, work, school, or in restaurants. Healthy Foods: Fact versus Fiction is the result of a collaborative effort between a medical doctor and an award-winning journalist and author on nutrition. This book provides actual research findings to shed light on the true benefits of the most popular health foods—and in some cases, debunk misconceptions surrounding certain foods.

Addresses recent advances from both the clinical and technological perspectives to provide a comprehensive presentation of m-Health This book introduces the concept of m-Health, first coined by Robert S. H. Istepanian in 2003. The evolution of m-Health since then—how it was transformed from an academic concept to a global healthcare technology phenomenon—is discussed. Afterwards the authors describe in detail the basics of the three enabling scientific technological elements of m-Health (sensors, computing, and communications), and how each of these key ingredients has evolved and matured over the last decade. The book concludes with detailed discussion of the future of m-Health and presents future directions to potentially shape and transform healthcare services in the coming decades. In addition, this book: Discusses the rapid evolution of m-Health in parallel with the maturing process of its enabling technologies, from bio-wearable sensors to the wireless and mobile communication technologies from IOT to 5G systems and beyond Includes clinical examples and current studies, particularly in acute and chronic disease management, to illustrate some of the relevant medical aspects and clinical applications of m-Health Describes current m-Health ecosystems and business models Covers successful applications and deployment examples of m-Health in various global health settings, particularly in developing countries

This book covers how Internet of Things (IoT) has a role in shaping the future of our communities. The author shows how the research and education ecosystem promoting impactful solutions-oriented science can help citizenry, government, industry, and other stakeholders to work collaboratively in order to make informed, socially-responsible, science-based decisions. Accordingly, he shows how communities can address complex, interconnected socio-environmental challenges. This book addresses the key inter-related challenges in areas such as the environment, climate change, mining, energy, agro-economic, water, and forestry that are limiting the development of a sustainable and resilient society -- each of these challenges are tied back to IoT based solutions. Presents research into sustainable IoT with respect to wireless communications, sensing, and systems Provides coverage of IoT technologies in sustainability, health, agriculture, climate change, mining, energy, water management, and forestry Relevant for academics, researchers, policy makers, city planners and managers, technicians, and industry professionals in IoT and sustainability

"A realistic read that will prod even the most stubborn fast-food eating couch potato to take action toward a healthier lifestyle." —Library Journal Salad instead of steak? Working out? Skipping that second beer or glass of wine? Healthy habits are THE WORST. If you’re someone who gets up every morning and can’t wait for your run, considers eating sweet potatoes a splurge, and sets aside thirty minutes before work to meditate—this book isn’t for you. If you’re someone who thinks about getting up to go for a run but goes back to sleep, regrets last night’s dinner of fast food, and can barely get to work on time—let alone meditate—then this book will help you find the motivation you’ve been looking for to live your healthiest life, even when you don’t want to. With this funny, in-your-face guide, you won’t find advice on how to “enjoy” exercise, or tips for making broccoli and kale taste as good as donuts and ice cream. What you will find are solid skills to help you actually do the healthy things you know you should be doing. Using these skills—based in acceptance and commitment therapy (ACT) and neuroscience—you’ll learn to find the motivation you’re really craving to adopt healthy habits, even if they do suck. You’ll also discover how to accept self-criticism, develop self-compassion, and live a more meaningful life. This book not only acknowledges that many healthy habits suck, it uses science to explain why we want the things we want (junk food), crave the things we crave (sugar), and dislike the things we dislike (exercise). At the end, you’ll feel validated in feeling like these things are the absolute worst. But you’ll also find the motivation to do them anyway.