Healthcare Paradigms in the Internet of Things Ecosystem
eBook - ePub

Healthcare Paradigms in the Internet of Things Ecosystem

  1. 410 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Healthcare Paradigms in the Internet of Things Ecosystem

Book details
Table of contents
Citations

About This Book

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

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Yes, you can access Healthcare Paradigms in the Internet of Things Ecosystem by Valentina Emilia Balas,Souvik Pal in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2020
ISBN
9780128199206
Topic
Biological Sciences
Subtopic
Biotechnology
Index
Biological Sciences

Table of contents

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