Biomedical Sensors and Smart Sensing A Beginner s Guide

  • Author : Ayan Kumar Panja
  • Publsiher : Academic Press
  • Release : 01 June 2021
  • ISBN : 9780128230732
  • Page : 160 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Biomedical Sensors and Smart Sensing A Beginner s Guide written by Ayan Kumar Panja and published by Academic Press. This book was released on 01 June 2021 with total page 160 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : Primers in Biomedical Imaging Devices and Systems is a 10-volume series which covers the key principles, background, and advancements in biomedicine-related technologies. It explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery, and medical applications. The volumes in this book series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of the technology in real-world situations. The series considers various medical devices, electronics, circuits, sensors, and algorithms. Several applications ranging from the basic biological science to clinical practice are included to facilitate ongoing research. Biomedical Sensors and Smart Sensing: A Beginner’s Guide series covers a wide range of interdisciplinary applications including use in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The wide scope of technology considered in this series makes it an ideal source for researchers, graduate students, engineers and medical practitioners involved with medical device development and application in the healthcare industry. Covers a variety of sensing and signal processing techniques Introduces different approaches related to the communication and intelligent data processing approach for early detection and the prediction of diseases Includes practical case studies

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