Smart Systems for E-Health

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.

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

Autorentext
Helwig Hauser has been a professor at the University of Bergen, Norway, since 2007, where he leads the research group on visualization [5]. During the first four years, the group grew to a size of 15 researchers, working on projects in medical visualization, the visualization of geological data and models, flow visualization, the visualization of biological data, marine data visualization, and others. Since then, the group is continously contributing to the field (see, for example, the publications of the Bergen VisGroup).

Inhalt

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