Healthcare Paradigms in the Internet of Things Ecosystem

1st Edition - November 7, 2020
Imprint: Academic Press
Editors: Valentina Emilia Balas, Souvik Pal
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 9 6 6 4 - 9
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 9 9 2 0 - 6

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 postgradu… Read more

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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.

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
1. Introduction
2. Internet of Things
3. Architecture of IoT
4. Enabling technologies of IoT
5. Applications of IoT
6. Research challenges and issues in IoT
7. Summary
Chapter 2. IoT for healthcare industries: a tale of revolution
1. Introduction
2. Component and mechanism of IoT
3. IoT in healthcare
4. Reducing healthcare costs with IoT
5. Challenges of using IoT in the healthcare segment
6. Conclusion
Chapter 3. Big data based hybrid machine learning model for improving performance of medical Internet of Things data in healthcare systems
1. Introduction to Big Data and IoT
2. Relationship between Internet of Things and Big Data
3. Role of Big Data and IoT in Healthcare Systems
4. Architecture of Apache Flume and Spark
5. Data analytics for IoT using Big Data analytics
6. Big Data pipeline for IoT data storage and processing
7. Conclusion and future directions
Chapter 4. The role of Internet of Things for adaptive traffic prioritization in wireless body area networks
1. Introduction to wireless body area network
2. Hardware architecture of biomedical sensor
3. Applications of medical sensors
4. Data dissemination protocols in WBAN
5. Introduction to Internet of Things
6. Open issues of WBAN
7. Open issues of IoT
8. Conclusion
Chapter 5. Spatiotemporal pattern and hotspot detection of malaria using spatial analysis and GIS in West Bengal: an approach to medical GIS
1. Introduction
2. Data and methods
3. Results and analysis
4. Discussion
5. Recommendations
6. Conclusions
Chapter 6. Integration of Cloud and IoT for smart e-healthcare
1. Introduction
2. Related work and application areas
3. Background terms
4. Cloud IoT integration for healthcare systems
5. Cloud IoT complimentary aspects and drivers for integration
6. Architecture framework for healthcare system
7. A Conceptual Healthcare Scenario
8. Design considerations for healthcare architecture
9. Cloud IoT security threats and issues
10. Platforms and services
11. Challenges and open issues
12. Discussion and conclusion
Chapter 7. IoT-based location-aware smart healthcare framework with user mobility support in normal and emergency scenario: a comprehensive survey
1. Introduction to smart and remote healthcare system
2. Introduction of location-aware healthcare system with mobility support
3. Learning techniques for healthcare system
Chapter 8. Remote health monitoring protocols for IoT-enabled healthcare infrastructure
1. Introduction
2. System architecture for IoT-based healthcare
3. Potential applications
4. Research challenges
5. Overview of protocol standards
6. Energy-aware protocols for IoT-based healthcare applications
7. Overview of protocols for proactive health monitoring systems
8. Open research issues
9. Conclusions
Chapter 9. Wearable sensor networks for patient health monitoring: challenges, applications, future directions, and acoustic sensor challenges
1. Introduction
2. Key enabling technique of a wearable body network: sensing
3. Human activity monitoring and e-health sensors
4. Computable indications in healthcare monitoring
5. Transportable devices
6. Attachable devices
7. Textile-based wearable devices and appliances
8. Measurement mechanism
9. Wearable sensor applications
10. Underwater wireless sensor network
11. Short note on next-generation sensor networks
12. Conclusions and future work
Chapter 10. RFID technology in health-IoT
1. History
2. Introduction
3. IoT and RFID technology
4. Functions of RFID technology
5. Applications of RFID technology
6. Challenges of RFID technology
7. IoT healthcare networks
8. IoT healthcare services
9. IoT healthcare applications
10. IoT healthcare industry developments and status
11. IoT system for in-home healthcare
12. Conclusion
Chapter 11. Principles and paradigms in IoT-based healthcare using RFID
1. Introduction
2. IoT-based healthcare architecture
3. Why need IoT
4. Challenges in IoT healthcare
5. IoT-driven system in IoT healthcare
6. RFID technology and its working
7. Current RFID technology
8. RFID in healthcare
9. RFID technology for IoT-based personal healthcare
10. RFID security concern
11. Recommendation
12. Conclusion
Chapter 12. Low-cost system in the analysis of the recovery of mobility through inertial navigation techniques and virtual reality
1. Introduction
2. Materials and methods
3. Results
4. Conclusions
Chapter 13. Control and remote monitoring of muscle activity and stimulation in the rehabilitation process for muscle recovery
1. Introduction
2. Materials and methods
3. Results
4. Conclusions
Chapter 14. Healthcare technology trade-offs for IoT ecosystems from a developing country perspective: case of Egypt
1. Introduction
2. Current state of the art
3. Architecture and components
4. Architecture and components
5. Emerging applications
6. Opportunities and challenges for the future
7. Conclusions
Chapter 15. Study of asian diabetic subjects based on gender, age, and insulin parameters: healthcare application with IoT and Big Data
1. Introduction and background
2. Big Data characteristics
3. Tension-type headache
4. Migraine versus TTH
5. Mental health
6. Diabetes mellitus and its symptoms
7. Literature survey
8. Results, interpretation, and discussion
9. About the study and analysis
10. Novelties in our work
11. Future scope, limitations, and possible applications
12. Tableau S/W, applications with benefits
13. Recommendations and future considerations
14. Conclusion
Chapter 16. Design and development of IoT-based decision support system for dengue analysis and prediction: case study on Sri Lankan context
1. Introduction
2. Internet of things, cloud computing, and fog computing
3. IoT-based decision support system for dengue analysis and prediction
4. Proposed architecture for dengue analysis and prediction decision support system
5. Conclusion and future works
Index

Valentina Emilia Balas

Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.

Affiliations and expertise

Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, Romania

Souvik Pal

Souvik Pal, Ph.D, is currently Associate Professor in the Department of Computer Science and Engineering, Global Institute of Management and Technology, West Bengal, India. Prior to that, he had been associated with Brainware University, Kolkata, JIS College of Engineering, Nadia, Elitte College of Engineering, Kolkata, Nalanda Institute of Technology, Bhubaneswar. Dr. Pal has received his B. Tech, M. Tech and Ph.D Degrees in the field of Computer Science and Engineering. He has more than a decade of Academic experience. He is author / Co-editor of 12 Books from reputed publishers like Elsevier/Springer/CRC Press/Wiley and he is owner of 03 patents. He is the series editor of Scrivener-Wiley Publishing, USA. Dr. Pal has published a number of research papers in Scopus / SCI-indexed International journals and conferences. He is the organizing Chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a Keynote Speaker in ICICCT 2019, Turkey; ICTIDS 2019, Malaysia. His professional activities include roles as Associate Editor/ Editorial Board Member for more than 100+ International Journals/Conferences of high repute and impact. His research area includes Cloud Computing, Big Data, Internet of Things, Wireless Sensor Network, and Data Analytics.

Affiliations and expertise

Associate Professor, Department of Computer Science and Engineering, Global Institute of Management and Technology, West Bengal, India

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