Titlebook: Sub-Terahertz Sensing Technology for Biomedical Applications; Shiban Kishen Koul,Priyansha Kaurav Book 2022 The Editor(s) (if applicable)

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背叛者

Book 2022the 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

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Terahertz Spectrum in Biomedical Engineering,ties. The sub-THz band (0.1–0.3 THz) and the THz band (0.3–10 THz) lie between millimeter waves (mm-waves) and light waves with the ability to harness their advantages. The capacity for these sub-THz and THz waves to penetrate deeply into dielectric materials combined with their high spatial resolut

过滤

Electronic Sub-Terahertz VNA Measurement Techniques,the sub-THz and THz frequency ranges can be used for this purpose. Both Time-Domain Spectroscopy (TDS) and dielectric characterization using a Vector Network Analyzer (VNA) are widely used in photonics and electronic engineering. Electronics implementations perform better (in terms of output power)

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小故事

Non-invasive Sub-Terahertz Blood Glucose Measurement, constant burden on the household budget. For these reasons, non-invasive glucose monitoring is heavily researched and is highly desired by many companies. The first part of this chapter will discuss various guidelines and parameters that are important to consider when developing blood glucose measu

cringe

Breast Tumor Margin Assessment Using Sub-Terahertz Wave,e resected tissue margins are free of histological abnormalities. About 15–35% of patients encounter malignant cells at the margins or close to the original resection specimen, requiring re-surgery. The clinical findings that inadequate margins are frequent in patients who undergo surgical resection

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丑恶

Automation in Sub-Terahertz/Terahertz Imaging Systems,THz imaging protocols have significant limitations due to the manual data acquisition and data processing procedures that are time-consuming and require a significant investment of resources. Using automation of the THz imaging process, we will be able to overcome some of these difficulties, as we w