Smart Systems for E-Health : WBAN Technologies, Security and Applications / edited by Hanen Idoudi, Thierry Val.

Format:

Book

Contributor:

Idoudi, Hanen., Editor.

Val, Thierry., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Advanced information and knowledge processing 2197-8441

Advanced Information and Knowledge Processing, 2197-8441

Language:

English

Subjects (All):

Medical informatics.

Data protection.

Wireless communication systems.

Mobile communication systems.

Data mining.

Health Informatics.

Data and Information Security.

Wireless and Mobile Communication.

Data Mining and Knowledge Discovery.

Local Subjects:

Health Informatics.

Data and Information Security.

Wireless and Mobile Communication.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XI, 236 pages) : 131 illustrations, 110 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

Introduction

Part I: Physical Design of Medical Devices, Signal Processing and Emergent Wireless Technologies for E-health

Design and Control of Multifunctional, Multiarticulate Prosthetic Hand

A Mobile Computing Solution for Enhanced Living Environments and Healthcare Based on Internet of Things

Rapid Medical Images Restoration Combining Parametric Wiener Filtering and Wave Atom Transform Based on Local Adaptive Shrinkage

Part II: Security and Privacy in IoT-based E-health Applications

BlockCare: SDN-enabled Blockchain Framework for Securing Decentralized Healthcare and Precision Medicine Applications

IoT Performability for Medical Wearable Device by Data Privacy and Fault-tolerance

Towards Trustworthy Cognitive Radio based Internet of Medical Things

E-health Threat Intelligence within Cyber-Defense Framework for E-health Organizations

Part III: Applications, Data Mining and Data Analytics for E-health

DAS-Autism: a Rule-based System to Diagnose Autism within Multi-valued Logic

Smart E-Health Home Supervision Systems

Literature review: Overview of Cancer Treatment and Prediction Approaches based on Machine Learning.

Other Format:

Printed edition:

ISBN:

978-3-030-14939-0

9783030149390

Access Restriction:

Restricted for use by site license.