Sensors for Everyday Life

Healthcare Settings

  • Octavian Adrian Postolache
  • Subhas Chandra Mukhopadhyay
  • Krishanthi P. Jayasundera
  • Akshya K. Swain

Part of the Smart Sensors, Measurement and Instrumentation book series (SSMI, volume 22)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. N. Afsarimanesh, Subhas Chandra Mukhopadhyay, M. Kruger, P. Yu
    Pages 23-44
  3. Masataka Fujimoto, Shinji Yoshii, Satoshi Ikezawa, Toshitsugu Ueda, Chiaki Kitamura
    Pages 67-85
  4. Masashi Nakayama, Naoki Shigekawa, Takashi Yokouchi, Shunsuke Ishimitsu
    Pages 87-102
  5. Madhubabu Anumukonda, Shubhajit Roy Chowdhury
    Pages 121-134
  6. Anindya Nag, Subhas Chandra Mukhopadhyay, Jǘrgen Kosel
    Pages 135-157
  7. Olivia Ojuroye, Russel Torah, Steve Beeby, Adriana Wilde
    Pages 159-183
  8. Gabriela Postolache, Hélder Carvalho, André Catarino, Octavian Adrian Postolache
    Pages 185-219
  9. Xiaoyou Lin, Boon-Chong Seet, Frances Joseph
    Pages 221-239
  10. Thomas Newe, Muzaffar Rao, Daniel Toal, Gerard Dooly, Edin Omerdic, Avijit Mathur
    Pages 259-285
  11. Back Matter
    Pages 287-287

About this book

Introduction

Sensors were developed to detect and quantify structures and functions of human body as well as to gather information from the environment in order to optimize the efficiency, cost-effectiveness and quality of healthcare services as well as to improve health and quality of life. This book offers an up-to-date overview of the concepts, modeling, technical and technological details and practical applications of different types of sensors. It also discusses the trends for the next generation of sensors and systems for healthcare settings. It is aimed at researchers and graduate students in the field of healthcare technologies, as well as academics and industry professionals involved in developing sensing systems for human body structures and functions, and for monitoring activities and health.

Keywords

Sensor Networks Wireless Sensors Smart Sensors Biosensors MEMS Electrochemical Biosensing System Glucose Monitoring Artificial Neural Networks

Editors and affiliations

  • Octavian Adrian Postolache
    • 1
  • Subhas Chandra Mukhopadhyay
    • 2
  • Krishanthi P. Jayasundera
    • 3
  • Akshya K. Swain
    • 4
  1. 1.Instituto de Telecomunicações and ISCTE-IULLisbonPortugal
  2. 2.Department of Engineering, Faculty of Science and EngineeringMacquarie UniversitySydneyAustralia
  3. 3.Institute of Fundamental SciencesMassey UniversityPalmerston NorthNew Zealand
  4. 4.Department of Electrical and Computer EngineeringUniversity of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-47319-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-47318-5
  • Online ISBN 978-3-319-47319-2
  • Series Print ISSN 2194-8402
  • Series Online ISSN 2194-8410
  • About this book