Sub Terahertz Sensing Technology For Biomedical Applications
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Sub-Terahertz Sensing Technology for Biomedical Applications
Author: Shiban Kishen Koul
language: en
Publisher: Springer Nature
Release Date: 2022-08-20
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.
Next Generation Wireless Communication
Author: Mohammed El Ghzaoui
language: en
Publisher: Springer Nature
Release Date: 2024-07-23
This book provides an overview of the most common techniques and methods employed in wireless fields. Conversely, it delves into a detailed study of millimeter-wave (mm-wave) and terahertz (THz) systems, with a focus on various schemes for transmitting and receiving electromagnetic waves. The title comprehensively reviews key elements associated with wireless communications, emphasizing the generation and detection of mm and THz waves. It explores specifications, innovations in new materials for high-speed terahertz and millimeter-wave technology, and considerations related to components and system aspects. Additionally, the book explores the integration of machine learning (ML) and artificial intelligence (AI) in smart communication systems, along with potential applications for advanced wireless communications. Furthermore, it concentrates on recent advances and diverse research prospects in Next-Generation Wireless Communication Technologies. The book also seeks theoretical, methodological, well-established, and validated empirical work addressing these various topics.
Terahertz Imaging for Biomedical Applications
Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information. Terahertz imaging systems are being commercialized, with increasing trials performed in a biomedical setting. As a result, advanced digital image processing algorithms are needed to assist screening, diagnosis, and treatment. "Pattern Recognition and Tomographic Reconstruction" presents these necessary algorithms, which will play a critical role in the accurate detection of abnormalities present in biomedical imaging. Terhazertz tomographic imaging and detection technology contributes to the ability to identify opaque objects with clear boundaries, and would be useful to both in vivo and ex vivo environments, making this book a must-read for anyone in the field of biomedical engineering and digital imaging.