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  • © 2021

Smart Systems for E-Health

WBAN Technologies, Security and Applications

  • Includes case studies that illustrate how practitioners can design smart devices for e-health and how to apply big data technologies, data mining and artificial intelligence to build smarter and more efficient e-health services
  • Details both theoretical and practical aspects of security and privacy in e-health applications
  • Reviews exhaustively the key recent research into technological aspects of e-health applications, especially related to their integration within the Internet of Things and enabling infrastructures

Part of the book series: Advanced Information and Knowledge Processing (AI&KP)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
  2. Physical Design of Medical Devices, Signal Processing and Emergent Wireless Technologies for E-Health

    1. Front Matter

      Pages 1-1
  3. Security and Privacy in IoT-Based E-Health Applications

    1. Front Matter

      Pages 79-79
    2. IoT Performability for Medical Wearable Device by Data Privacy and Fault Tolerance

      • Raluca Maria Aileni, George Suciu, Carlos Valderrama, Sever Pasca
      Pages 113-133
    3. Toward Trustworthy Cognitive Radio-Based Internet of Medical Things

      • Jihen Bennaceur, Hanen Idoudi, Leila Azouz Saidane
      Pages 135-160
  4. Applications, Data Mining and Data Analytics for E-Health

    1. Front Matter

      Pages 181-181
    2. DAS-Autism: A Rule-Based System to Diagnose Autism Within Multi-valued Logic

      • Saoussen Bel Hadj Kacem, Amel Borgi, Sami Othman
      Pages 183-200
    3. Smart E-Health Home Supervision Systems

      • Eric Campo, Damien Brulin, Daniel Estève, Marie Chan
      Pages 201-220

About this book

The purpose of this book is to review the recent advances in E-health technologies and applications. In particular, the book investigates the recent advancements in physical design of medical devices, signal processing and emergent wireless technologies for E-health. In a second part, novel security and privacy solutions for IoT-based E-health applications are presented. The last part of the book is focused on applications, data mining and data analytics for E-health using artificial intelligence and cloud infrastructure.

E-health has been an evolving concept since its inception, due to the numerous technologies that can be adapted to offer new innovative and efficient E-health applications.  Recently, with the tremendous advancement of wireless technologies, sensors and wearable devices and software technologies, new opportunities have arisen and transformed the E-health field. Moreover, with the expansion of the Internet of Things, and the huge amount of data that connected E-health devices and applications are generating, it is also mandatory to address new challenges related to the data management, applications management and their security. Through this book, readers will be introduced to all these concepts.

This book is intended for all practitioners (industrial and academic) interested in widening their knowledge in wireless communications and embedded technologies applied to E-health, cloud computing, artificial intelligence and big data for E-health applications and security issues in E-health.

Editors and Affiliations

  • National School of Computer Science (ENSI), Manouba University, Manouba, Tunisia

    Hanen Idoudi

  • CNRS-IRIT, University of Toulouse 2 Jean-Jaurès, Blagnac, France

    Thierry Val

Bibliographic Information

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access