Healthcare Paradigms in the Internet of Things Ecosystem

Valentina Emilia Balas, Souvik Pal

• Publisher: Academic Press
• Year: 2020
• Print ISBN:
  9780128196649
• eBook ISBN:
  9780128199206
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. - Presents the complete functional framework workflow in IoT-enabled healthcare technologies - Explains concepts of location-aware protocols and decisive mobility in IoT healthcare - Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare - Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare - Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• About the editors
• Preface
• About the book
• Chapter 1. The fundamentals of Internet of Things: architectures, enabling technologies, and applications
• Chapter 2. IoT for healthcare industries: a tale of revolution
• Chapter 3. Big data based hybrid machine learning model for improving performance of medical Internet of Things data in healthcare systems
• Chapter 4. The role of Internet of Things for adaptive traffic prioritization in wireless body area networks
• Chapter 5. Spatiotemporal pattern and hotspot detection of malaria using spatial analysis and GIS in West Bengal: an approach to medical GIS
• Chapter 6. Integration of Cloud and IoT for smart e-healthcare
• Chapter 7. IoT-based location-aware smart healthcare framework with user mobility support in normal and emergency scenario: a comprehensive survey
• Chapter 8. Remote health monitoring protocols for IoT-enabled healthcare infrastructure
• Chapter 9. Wearable sensor networks for patient health monitoring: challenges, applications, future directions, and acoustic sensor challenges
• Chapter 10. RFID technology in health-IoT
• Chapter 11. Principles and paradigms in IoT-based healthcare using RFID
• Chapter 12. Low-cost system in the analysis of the recovery of mobility through inertial navigation techniques and virtual reality
• Chapter 13. Control and remote monitoring of muscle activity and stimulation in the rehabilitation process for muscle recovery
• Chapter 14. Healthcare technology trade-offs for IoT ecosystems from a developing country perspective: case of Egypt
• Chapter 15. Study of asian diabetic subjects based on gender, age, and insulin parameters: healthcare application with IoT and Big Data
• Chapter 16. Design and development of IoT-based decision support system for dengue analysis and prediction: case study on Sri Lankan context
• Index