Mobile Technologies For Smart Healthcare System Design

This book is a detailed exploration of mobile technologies in the healthcare sector. It begins with an overview of WiFi-based systems for activity recognition, utilizing existing infrastructure for health monitoring, and then examines mmWave technology for its precision in health systems and the design of a sophisticated fitness assistant system. The narrative progresses to wearable technologies, emphasizing their role in personal fitness and injury prevention. A significant focus is on eating habit monitoring for comprehensive dietary analysis. The book concludes with an innovative use of PPG sensors in wearables for intricate applications, suck as gesture recognition and user authentication. Looking ahead, this book outlines future research directions, emphasizing the importance of securing deep learning techniques in mobile health technologies, developing adaptive systems for dynamic environments, and creating integrated systems for personalized medicine and comprehensive health monitoring. This forward-looking perspective highlights the need for proactive, preventive and tailored healthcare solutions. This book also discusses various challenges in designing effective and robust mobile healthcare systems. One of the major challenges is collecting accurate and reliable sensor data, given the complexity and variability of human activities. It tackles this challenge through innovative sensing modalities like WiFi, millimeter wave signals, and photoplethysmography that can capture fine-grained details regarding human activities and physiology. Robust algorithms are designed to extract meaningful features from the sensor data to interpret activities, gestures, and biometrics. System robustness across diverse environments is another big challenge in mobile healthcare. The solutions presented by this book could adapt to different settings using advanced learning techniques such as environment-invariant analysis and domain adaptation training. The book also deals with practical issues like reducing training efforts, handling motion artifacts and implementing systems using commercially available devices. Overall, this book provides comprehensive methodologies leveraging cutting-edge mobile technologies to address key challenges in developing real-world healthcare applications for continuous monitoring, personalized assistance, dietary tracking, gesture recognition and user authentication. The systems are designed to work reliably despite environmental variations, individual differences, and device constraints. The primary audience for this book targets researchers working in mobile computing, smart healthcare, human-computer interaction, cyber-physical systems, AI/ML and cybersecurity. Specifically, it targets advanced-level students majoring in electronic engineering, computer engineering, computer science, biomedical engineering, data science, biobehavioral health and information science. Professional and consultants focusing on advancing mobile computing, smart healthcare, human-computer interaction, Internet-of-Things, and cybersecurity through the application of sensing modalities, signal processing and AI/ML will also find this book highly valuable.

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.

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.

mHealth: From Smartphone to Smart Systems provides a high level and comprehensive survey of the emergence of mobile technology healthcare. This book looks beyond the already-popular devices and apps associated with mHealth, exploring the major role this technology could play as healthcare steers inexorably toward an architecture

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

This book offers a comprehensive report on the technological aspects of Mobile Health (mHealth) and discusses the main challenges and future directions in the field. It is divided into eight parts: (1) preventive and curative medicine; (2) remote health monitoring; (3) interoperability; (4) framework, architecture, and software/hardware systems; (5) cloud applications; (6) radio technologies and applications; (7) communication networks and systems; and (8) security and privacy mechanisms. The first two parts cover sensor-based and bedside systems for remotely monitoring patients’ health condition, which aim at preventing the development of health problems and managing the prognosis of acute and chronic diseases. The related chapters discuss how new sensing and wireless technologies can offer accurate and cost-effective means for monitoring and evaluating behavior of individuals with dementia and psychiatric disorders, such as wandering behavior and sleep impairments. The following two parts focus on architectures and higher level systems, and on the challenges associated with their interoperability and scalability, two important aspects that stand in the way of the widespread deployment of mHealth systems. The remaining parts focus on telecommunication support systems for mHealth, including radio technologies, communication and cloud networks, and secure health-related applications and systems. All in all, the book offers a snapshot of the state-of-art in mHealth systems, and addresses the needs of a multidisciplinary audience, including engineers, computer scientists, healthcare providers, and medical professionals, working in both academia and the industry, as well as stakeholders at government agencies and non-profit organizations.

"This book provides an in-depth introduction into medical, social, psychological, and technical aspects of smart healthcare applications as well as their consequences for the design, use and acceptance of future systems"--Provided by publisher.

This book presents a state-of-the-art overview of the available and emerging mobile technologies and explores how these technologies can serve as support tools in enhancing user participation in health care and promoting well-being in the daily lives of individuals, thereby reducing the burden of chronic disease on the health care system. The analysis is supported by presentation of a variety of case studies on the ways in which mobile technologies can be used to increase connectivity with health care providers and relevant others in order to promote healthy lifestyles and improve service provision. Detailed information is also provided on a sample project in which a set of tools has been used by teens at risk of obesity to record their sociopsychological environment and everyday health routines. Specifically, it is evaluated whether video diaries, created using a mobile platform and shared in real time via a social network, assist subjects in confronting obesity as a chronic disease. The book will be of interest to all who wish to understand the impressive potential of mobile health or to conduct research in the field.