£106.00

Artech House Fiber-Optic Sensors for Biomedical Applications (Applied Photonics)

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Description

This book is written from the point of view of prospective users, with a practical rather than purely theoretical approach, and discusses how optical fibre sensors can be applied to the detection of biophysical and biological quantities inside the body. The aim of the authors is to close the gap between the technologies and their application in the biomedical and clinical world. The book merges three key aspects: on one side it explores the principles of photonics and optical sensing and includes details about high-density distributed sensors, fibre Bragg gratings and fabry-perot interferometer; on the other side it examines biomedical applications, diagnostics and clinical procedures in gastroscopy, urology and neurology; and to bridge the two sides, it outlines how the fibre-optic sensing devices, developed in research labs, undergo the process of packaging, standardization and certification to become a commercially viable products. The authors highlight the competitive advantages fibre-optic sensors bring both in present and in emerging applications, with visual aids and application reviews. Readers will gain a thorough understanding of which technology to use and adopt and how to connect technologies with their respective applications. About the Author Daniele Tosi is an assistant professor at Nazarbayev University. He received his Ph.D. in electronics and communication engineering from Politecnico di Torino, Italy, a master s degree from Alta Scuola Politecnica, Politecnico di Milano, and a master s degree in telecommunication engineering from Politecnico di Torino, Italy. Guido Perrone is a professor of microwaves and photonic devices in the Department of Electronics and Telecommunications at Politecnico di Torino. He received his Ph.D. in electromagnetics and his M.S. in electronic engineering from Politecnico di Torino.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2018
Listed Since
12 September 2017

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No barcode data available

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