Principles And Applications Of Rf Microwave In Healthcare And Biosensing

This reference, written by leading authorities in the field, gives basic theory, implementation details, advanced research, and applications of RF and microwave in healthcare and biosensing. It first provides a solid understanding of the fundamentals with coverage of the basics of microwave engineering and the interaction between electromagnetic waves and biomaterials. It then presents the state-of-the-art development in microwave biosensing, implantable devices -including applications of microwave technology for sensing biological tissues – and medical diagnosis, along with applications involving remote patient monitoring. this book is an ideal reference for RF and microwave engineer working on, or thinking of working on, the applications of RF and Microwave technology in medicine and biology. Learn: The fundamentals of RF and microwave engineering in healthcare and biosensing How to combine biological and medical aspects of the field with underlying engineering concepts How to implement microwave biosensing for material characterization and cancer diagnosis Applications and functioning of wireless implantable biomedical devices and microwave non-contact biomedical radars How to combine devices, systems, and methods for new practical applications The first book to review the fundamentals, latest developments, and future trends in this important emerging field with emphasis on engineering aspects of sensing, monitoring, and diagnosis using RF and Microwave Extensive coverage of biosensing applications are included Written by leaders in the field, including members of the Technical Coordinating Committee of the Biological Effects and Medical Applications of the IEEE Microwave Theory and Techniques Society

This book offers the readers an opportunity to acquire the concepts of artificial intelligence (AI) enabled sub-THz systems for novel applications in the biomedical field. The readers will also be inspired to contextualize these applications for solving real life problems such as non-invasive glucose monitoring systems, cancer detection and dental imaging. The introductory section of this book focuses on existing technologies for radio frequency and infrared sensing in biomedical applications, and their limited use in sensing applications, as well as the advantages of using THz technology in this context. This is followed by a detailed comparative analysis of THz electronics technology and other conventional electro optic THz setups highlighting the superior efficiency, affordability and portability of electronics-based THz systems. The book also discusses electronic sub-THz measurement systems for different biomedical applications. The chapters elucidate two major applications where sub-THz provides an edge over existing state of the art techniques used for non-invasive measurement of blood glucose levels and intraoperative assessment of tumor margins. There is a detailed articulation of an application of leveraging machine learning for measurement systems for non-invasive glucose concentration measurement. This helps the reader relate to the output in a more user-friendly format and understand the possible use cases in a more lucid manner. The book is intended to help the reader learn how to build tissue phantoms and characterize them at sub-THz frequencies in order to test the measurement systems. Towards the end of the book, a brief introduction to system automation for biomedical imaging is provided as well for quick analysis of the data. The book will empower the reader to understand and appreciate the immense possibilities of using electronic THz systems in the biomedical field, creating gateways for fueling further research in this area.​

Electromagnetic Waves-Based Cancer Diagnosis and Therapy: Principles and Applications of Nanomaterials is a reference solution for radiation-based methods in cancer therapy that benefit from nanosystems. The book gives foundational knowledge and the latest techniques across the electromagnetic wave spectrum. It assesses the advantages and limitations of nanosystems in therapy, providing researchers and specialists with the insight to leverage novel nanostructures for therapy and to improve the efficacy of existing methods. It presents a comprehensive reference on the use of nanosystems in radiation-based cancer therapy. What makes this book unique is its coverage of the electromagnetic wave spectrum. Six chapters cover radio-wave-involved cancer therapy and imaging; cancer therapy by microwaves hypothermia; infra-red waves in cancer theranostics; the use of visible light in diagnosis; X-ray based treatments; and gamma ray-involved therapy and imaging. This book offers researchers and specialists a comprehensive overview of radiation-based methods using nanosystems. It will be of great use to researchers and specialists in cancer diagnosis who want to take advantage of novel nanostructures and to improve the performance of conventional methods in radiation-based cancer diagnosis and therapy. Provides a comprehensive reference of radiation-based methods in cancer therapy benefiting from nanosystems Presents advantages and limitations in the use of nanosystems for radiation-based methods in cancer therapy Helps researchers and specialists leverage the potential of novel nanostructures for therapy Offers ways to improve the performance of conventical methods using nanosystems, making this a one-stop solution to the use of nanosystems in radiation-based cancer therapy

This book introduces the origin of biomedical signals and the operating principles behind them and introduces the characteristics of common biomedical signals for subsequent signal measurement and judgment. Since biomedical signals are captured by wearable devices, sensor devices, or implanted devices, these devices are all battery-powered to maintain long working time. We hope to reduce their power consumption to extend service life, especially for implantable devices, because battery replacement can only be done through surgery. Therefore, we must understand how to design low-power integrated circuits. Both implantable and in-vitro medical signal detectors require two basic components to collect and transmit biomedical signals: an analog-to-digital converter and a frequency synthesizer because these measured biomedical signals are wirelessly transmitted to the relevant receiving unit. The core unit of wireless transmission is the frequency synthesizer, which provides a wide frequency range and stable frequency to demonstrate the quality and performance of the wireless transmitter. Therefore, the basic operating principle and model of the frequency synthesizer are introduced. We also show design examples and measurement results of a low-power low-voltage integer-N frequency synthesizer for biomedical applications. The detection of biomedical signals needs to be converted into digital signals by an analog-to-digital converter to facilitate subsequent signal processing and recognition. Therefore, the operating principle of the analog-to-digital converter is introduced. We also show implementation examples and measurement results of low-power low-voltage analog-to-digital converters for biomedical applications.

This book provides a solid foundation for understanding radar energy warfare and stealth technology. The book covers the fundamentals of radar before moving on to more advanced topics, including electronic counter and electronic counter-counter measures, radar absorbing materials, radar cross section, and the science of stealth technology. A final section provides an introduction to Luneberg lens reflectors. The book will provide scientists, engineers, and students with valuable guidance on the fundamentals needed to understand state-of-the-art radar energy warfare and stealth technology research and applications.

This book constitutes the refereed conference proceedings of the 14th International Conference on Bio-inspired Information and Communications Technologies, held in Okinawa, Japan, during April 11-12, 2023. The 17 full papers were carefully reviewed and selected from 33 submissions. The papers focus on the latest research that leverages the understanding of key principles, processes, and mechanisms in biological systems for development of novel information and communications technologies (bio-inspired ICT). BICT 2023 will also highlight innovative research and technologies being developed for biomedicine that are inspired by ICT (ICT-inspired biomedicine).

The field of microwave engineering has undergone a radical transformation in recent years, as commercial wireless endeavors overtook defense and government work. The modern microwave and RF engineer must be knowledgeable about customer expectations, market trends, manufacturing technologies, and factory models to a degree that is unprecedented. Unfortunately, most of the available literature does not reflect this fact, but remains focused on high-performance, low-volume applications. Microwave and RF Product Applications helps resolve that deficiency. Editor Mike Golio culled its chapters from his bestselling RF and Microwave Handbook, incorporated critical updates contributed by the original authors, and organized the chapters into a practical, tightly focused reference. A complete table of contents at the front of the text makes finding specific answers quick and easy, and detailed lists of references in each chapter provide convenient access to the relevant expert literature. For engineers in industry, government, or academia, Microwave and RF Product Applications provides insight and information that may be outside their area of expertise. For managers, marketers, and technical support personnel, it builds a better understanding of the fields that drive and are affected by their decisions.

This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022. The 98 full papers presented were carefully reviewed and selected from 192 submissions. The papers present new advances in the field of pattern recognition and artificial intelligence. They are organized in topical sections as follows: pattern recognition; computer vision; artificial intelligence; big data.