001448889 000__ 04685cam\a2200565\i\4500
001448889 001__ 1448889
001448889 003__ OCoLC
001448889 005__ 20230310004302.0
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001448889 020__ $$a9789811931406$$q(electronic bk.)
001448889 020__ $$a9811931402$$q(electronic bk.)
001448889 020__ $$z9789811931390
001448889 020__ $$z9811931399
001448889 0247_ $$a10.1007/978-981-19-3140-6$$2doi
001448889 035__ $$aSP(OCoLC)1342110949
001448889 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF$$dUKAHL$$dOCLCQ
001448889 049__ $$aISEA
001448889 050_4 $$aR856
001448889 08204 $$a610.28$$223/eng/20220825
001448889 1001_ $$aKoul, Shiban K.,$$eauthor.$$1https://isni.org/isni/0000000028542558
001448889 24510 $$aSub-THz sensing technology for biomedical applications /$$cShiban Kishen Koul, Priyansha Kaurav.
001448889 264_1 $$aSingapore :$$bSpringer,$$c2022.
001448889 300__ $$a1 online resource :$$billustrations (black and white, and color).
001448889 336__ $$atext$$btxt$$2rdacontent
001448889 337__ $$acomputer$$bc$$2rdamedia
001448889 338__ $$aonline resource$$bcr$$2rdacarrier
001448889 4901_ $$aBiological and medical physics, biomedical engineering
001448889 504__ $$aIncludes bibliographical references and index.
001448889 5050_ $$aChapter 1. Terahertz Spectrum in Biomedical Engineering -- Chapter 2. Electronic Sub-Terahertz VNA Measurement Techniques -- Chapter 3. Biological Tissue Interaction with Sub-Terahertz Spectrum -- Chapter 4. Non-invasive Sub-Terahertz Blood Glucose Measurement -- Chapter 5. Breast Tumor Margin Assessment using Sub-THz -- Chapter 6. Sub-THz and THz waves for Skin Diagnosis and Therapy -- Chapter 7. Machine Learning and Biomedical Sub-THz/THz Technology -- Chapter 8. Automation in Sub-THz/THz Imaging Systems -- Index.
001448889 506__ $$aAccess limited to authorized users.
001448889 520__ $$aThis 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.
001448889 588__ $$aDescription based on print version record.
001448889 650_0 $$aBiomedical engineering.
001448889 650_0 $$aBiomedical engineering$$xTechnological innovations.
001448889 650_0 $$aTerahertz technology.
001448889 650_0 $$aLow voltage systems.
001448889 650_0 $$aArtificial intelligence$$xMedical applications.
001448889 650_0 $$aMachine learning.
001448889 655_0 $$aElectronic books.
001448889 7001_ $$aKaurav, Priyansha,$$eauthor.
001448889 77608 $$iPrint version:$$aKoul, Shiban K.$$tSub-THz sensing technology for biomedical applications.$$dSingapore : Springer Nature Singapore, 2022$$z9789811931390$$w(OCoLC)1334135586
001448889 830_0 $$aBiological and medical physics, biomedical engineering.
001448889 852__ $$bebk
001448889 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-3140-6$$zOnline Access$$91397441.1
001448889 909CO $$ooai:library.usi.edu:1448889$$pGLOBAL_SET
001448889 980__ $$aBIB
001448889 980__ $$aEBOOK
001448889 982__ $$aEbook
001448889 983__ $$aOnline
001448889 994__ $$a92$$bISE