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Sub-Terahertz sensing technology for...

Koul, Shiban K.

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Sub-Terahertz sensing technology for biomedical applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sub-Terahertz sensing technology for biomedical applications/ by Shiban Kishen Koul, Priyansha Kaurav.
remainder title:	Sub-THz sensing technology for biomedical applications
Author:	Koul, Shiban K.
other author:	Kaurav, Priyansha.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xxii, 276 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Terahertz Spectrum in Biomedical Engineering -- Chapter 2. Electronic Sub-Terahertz VNA Measurement Techniques -- Chapter 3. Biological Tissue Interaction with Sub-Terahertz Spectrum -- Chapter 4. Non-invasive Sub-Terahertz Blood Glucose Measurement -- Chapter 5. Breast Tumor Margin Assessment using Sub-THz -- Chapter 6. Sub-THz and THz waves for Skin Diagnosis and Therapy -- Chapter 7. Machine Learning and Biomedical Sub-THz/THz Technology -- Chapter 8. Automation in Sub-THz/THz Imaging Systems -- Index.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-981-19-3140-6
ISBN:	9789811931406

Sub-Terahertz sensing technology for biomedical applications
Koul, Shiban K.

Sub-Terahertz sensing technology for biomedical applications[electronic resource] /Sub-THz sensing technology for biomedical applicationsby Shiban Kishen Koul, Priyansha Kaurav. - Singapore :Springer Nature Singapore :2022. - xxii, 276 p. :ill., digital ;24 cm. - Biological and medical physics, biomedical engineering,2197-5647. - Biological and medical physics, biomedical engineering..

Chapter 1. Terahertz Spectrum in Biomedical Engineering -- Chapter 2. Electronic Sub-Terahertz VNA Measurement Techniques -- Chapter 3. Biological Tissue Interaction with Sub-Terahertz Spectrum -- Chapter 4. Non-invasive Sub-Terahertz Blood Glucose Measurement -- Chapter 5. Breast Tumor Margin Assessment using Sub-THz -- Chapter 6. Sub-THz and THz waves for Skin Diagnosis and Therapy -- Chapter 7. Machine Learning and Biomedical Sub-THz/THz Technology -- Chapter 8. Automation in Sub-THz/THz Imaging Systems -- Index.

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.

ISBN: 9789811931406

Standard No.: 10.1007/978-981-19-3140-6doiSubjects--Topical Terms:

535387
Biomedical engineering.

LC Class. No.: R856 / .K68 2022

Dewey Class. No.: 610.28

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505 0 $a Chapter 1. Terahertz Spectrum in Biomedical Engineering -- Chapter 2. Electronic Sub-Terahertz VNA Measurement Techniques -- Chapter 3. Biological Tissue Interaction with Sub-Terahertz Spectrum -- Chapter 4. Non-invasive Sub-Terahertz Blood Glucose Measurement -- Chapter 5. Breast Tumor Margin Assessment using Sub-THz -- Chapter 6. Sub-THz and THz waves for Skin Diagnosis and Therapy -- Chapter 7. Machine Learning and Biomedical Sub-THz/THz Technology -- Chapter 8. Automation in Sub-THz/THz Imaging Systems -- Index.
520 $a 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.
650 0 $a Biomedical engineering. $3 535387
650 0 $a Biomedical engineering $x Technological innovations. $3 1581782
650 0 $a Terahertz technology. $3 1002586
650 0 $a Low voltage systems. $3 817031
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Machine learning. $3 533906
650 1 4 $a Applied and Technical Physics. $3 1245150
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Imaging Techniques. $3 3595537
650 2 4 $a Microwaves, RF Engineering and Optical Communications. $3 3538694
650 2 4 $a Cancer Imaging. $3 900314
650 2 4 $a Bioanalysis and Bioimaging. $3 3596638
700 1 $a Kaurav, Priyansha. $3 3604849
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830 0 $a Biological and medical physics, biomedical engineering. $3 1027265
856 4 0 $u https://doi.org/10.1007/978-981-19-3140-6
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