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.

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