Internet Of Things Enabled Antennas For Biomedical Devices And Systems

The book consists of the latest research in biomedical and communication integration. It discusses the fabrication and testing outcomes of the Internet of Things-enabled biomedical applications. The book focuses on recent advances in the field of planar antenna design and their applications in space communication, mobile communication, wireless communication, and wearable applications. Planar antennas are also used in medical applications in microwave imaging, medical implants, hyperthermia treatments, and wireless wellness monitoring. This book presents planar antenna design concepts, methods, and techniques to enhance the performance parameters and applications for IoT and device-to-device communication. It provides the latest techniques used for the design of antennas in terms of their structures, defected ground, MIMO, and fractal design. This book also addresses the specific steps to resolve issues in designing antennas and how to design conformal and miniaturized antenna structures for various applications.

The recent developments in biomedical sensors, wireless communication systems, and information networks are transforming the conventional healthcare systems. The transformed healthcare systems are enabling distributed healthcare services to patients who may not be co-located with the healthcare providers, providing early diagnoses, and reducing the cost in the healthcare section. The developments in medical internet of things (m-IoT) would enable a range of applications, including remote health monitoring through medical-grade wearables to provide homecare for elderlies; virtual doctor-patient interaction to have any time and place access to medical professionals; wireless endoscopic examination; and remotely operated robotic surgery to extend the access to highly skilled surgeons. Wireless body area networks (WBAN) are key enablers of these transformations. These networks connect sensors and actuators to external processing units, which could be placed on the surface of the patient's body or implanted inside the body to connect specific sensors and/or actuators inside, on, and around the body to the data collection points. The success of these networks highly relies on the advent of low-power, low-delay, reliable, and low-cost wireless connectivity solutions. This book covers recent developments in wireless healthcare systems to provide an insight to the technological solutions (e.g. for body area channel propagation models, communication techniques, and energy harvesting/transfer) for wireless body area networks, and emerging applications of medical internet of things and wireless healthcare systems.

The escalating demand for advanced communication, sensing, and scanning systems across various applications as well as the urgency to comprehend the complexities of RF Frontend systems is more pronounced than ever. At the heart of this challenge lies the reconfigurability feature, playing a vital role in shaping the current trajectory of wireless technologies. The book Radar and RF Front End System Designs for Wireless Systems delves straight into this pressing issue and examines the relentless pace of innovation spurred by a myriad of configuration and design architectures. While these advancements hold great promise, they also introduce challenges that warrant thorough examination. Within the pages of this publication, a narrative unfolds that transcends theoretical discourse. The book offers a unique opportunity for academic scholars, researchers, and industry professionals to not only understand the intricacies of RF Frontend systems but also to grapple with the practical challenges posed by their rapid evolution. It becomes a guide in navigating this dynamic landscape, providing a deep exploration of the issues at hand and paving the way for informed solutions and breakthroughs.

Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.

This new volume provides an abundance of information on new biomedical applications being used today. The book covers a wide range of concepts and technologies, discussing such modern technological methods as the Internet of Things, e-pills, biomedical sensors, support vector machines, wireless devices, image and signal processing in e-health, and machine learning. It also includes a discussion on software implementation for the devices used in biomedical applications. The different types of antennas, including antennas using RF energy harvesting for biomedical applications, are covered as well.

This book provides a comprehensive overview of the latest trends in Internet of Things (IoT) antenna design. IoT is a rapidly growing network of interconnected devices that can collect and exchange data. This data can be used to improve efficiency, safety, and productivity in many applications, including smart cities, grids, industrial internet, computer security, etc. One of the main components of the IoT is the antenna. Antennas are responsible for transmitting and receiving the data that flows between IoT devices. To be effective, IoT antennas must be small, light, and easy to integrate into devices. They must also be able to operate in various environments, including those with elevated interference levels. This resource covers a wide range of topics, including the challenges and opportunities involved in designing antennas for IoT applications and the importance of miniaturization in IoT antenna design. A comprehensive list of references is included, making it a valuable resource for further study. This is an essential resource for engineers, researchers, and anyone who wants to learn more about the latest trends in IoT antenna design.