Sensor Networks for Smart Hospitals

Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.

Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.

Title of Book
Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editor
Foreword
Chapter 1. From digital to smart hospitals: past, present and the future
Abstract
1.1 Introduction
1.2 Concept of smart hospital
1.3 Literature overview
1.4 Advanced technologies for smart hospitals
1.5 Conclusion
References
Chapter 2. Transforming healthcare through advanced sensing technologies
Abstract
2.1 Introduction
2.2 Sensors in smart hospital networks: significance and types
2.3 Nanosensor networks: foundations and applications
2.4 Sensors and nanosensors: applications in patient monitoring
2.5 Enhancing diagnostics and imaging
2.6 Challenges: concerns in implementation and viable solution: sensors and biosensors
2.7 Future prospects and emerging trends
2.8 Case studies and success stories: positive outcomes and improvements in patient care
2.9 Concluding remarks
References
Chapter 3. Smart body area networks
Abstract
3.1 Introduction
3.2 Evolution of body area networks
3.3 Advanced sensor roles and types in body area networks
3.4 Body area networks architecture
3.5 Routing protocols in body area networks
3.6 Body area networks constraints and challenges
3.7 Strategies and requirements for addressing challenges of body area networks
3.8 Body area networks applications
3.9 Existing body area networks projects and frameworks for implementing advanced sensors in real-life practices
3.10 The future scope and futuristic vision of advanced sensors in body area networks
3.11 Conclusion
References
Chapter 4. Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
Abstract
4.1 Introduction
4.2 Machine learning algorithms
4.3 Application of digital twins
4.4 Discussion
4.5 Conclusions
Acknowledgements
References
Chapter 5. Blockchain for security and privacy in the smart sensor network
Abstract
5.1 Introduction
5.2 Related work
5.3 Smart sensor networks
5.4 Areas of smart sensors
5.5 Types of security and privacy in smart sensor systems in healthcare
5.6 Types of cyber attacks on smart sensor network in healthcare
5.7 Blockchain advantages in ensuring cyber security and privacy in smart healthcare sensor networks
5.8 Discussion
5.9 Conclusion
References
Chapter 6. Medical sensor network, blockchain and digital twin as the backbones of a connected ecosystem of smart hospitals
Abstract
6.1 Introduction
6.2 Cloud computing and multimodal sensing technologies, clinical artificial intelligence and machine learning algorithms, and simulation modeling and spatial data visualization tools across blockchain- and digital twin-based medical infrastructures
6.3 Blockchain-based healthcare digital twin and immersive visualization systems, haptic and biometric sensor technologies, and deep learning neural network and image processing computational algorithms in smart hospital operations
6.4 Blockchain-empowered metaverse healthcare systems, digital twin modeling and visual perception tools, and remote sensing and immersive metaverse technologies across 3D virtual clinics
6.5 Conclusions
References
Chapter 7. Digital twins and medical sensor network to analyze start-up delay in smart infusion pump
Abstract
7.1 Introduction
7.2 Methodology
7.3 Prediction of lag time using principal component regression
7.4 Conclusion
References
Chapter 8. Healthcare data management using blockchain-enabled sensor networks
Abstract
8.1 Introduction
8.2 Overview of healthcare data management challenges
8.3 Data usage in healthcare
8.4 Introduction to blockchain technology and its relevance
8.5 How blockchain can address healthcare data management issues
8.6 Enhanced integration of blockchain with sensor networks
8.7 Technical overview of integrating blockchain with sensor networks
8.8 Challenges and considerations
8.9 Summary
References
Chapter 9. Sensor networks and blockchain platforms for the future healthcare
Abstract
9.1 Introduction
9.2 Background
9.3 Sensor networks in healthcare
9.4 Blockchain technology in healthcare
9.5 Integration of sensor networks and blockchain
9.6 Advantages and challenges of sensor networks and blockchain in healthcare
9.7 Use cases and applications in healthcare: a comprehensive exploration
9.8 Security and privacy in healthcare: safeguarding patient data in the digital era
9.9 Future trends and directions: pioneering the next frontier in healthcare transformation
9.10 Conclusion: shaping the future of healthcare through sensor networks and blockchain
References
Chapter 10. Digital twin and sensor networks for healthcare monitoring frameworks
Abstract
10.1 Introduction
10.2 Related work
10.3 Methodology and research questions
10.4 Background
10.5 Digital twin characteristics
10.6 Technological infrastructure of digital twin in the medical domain
10.7 Digital twin frameworks in healthcare
10.8 Integrating sensors into healthcare digital twin
10.9 Digital twins applications in the healthcare domain
10.10 Digital twin applications in diabetes and the human brain
10.11 Packages and tools for implementing digital twins in healthcare
10.12 Challenges of digital twin in healthcare
10.13 Conclusion
Acknowledgment
References
Chapter 11. Wireless body area network for e-health application
Abstract
11.1 Introduction
11.2 Wireless body area network architecture
11.3 Wearable sensor devices and microcontrollers
11.4 Communication standards
11.5 Integration with emerging technologies
11.6 Applications of wireless body area networks
11.7 Challenges and future directions
11.8 Conclusion
References
Chapter 12. Anonymity preserving security protocol for wireless body area networks: towards the secure remote patient healthcare monitoring
Abstract
12.1 Introduction
12.2 Related work
12.3 System model
12.4 The proposed algorithm
12.5 Security analysis
12.6 Performance evaluation
12.7 Conclusion
References
Chapter 13. Wireless sensor networks for smart healthcare
Abstract
13.1 Introduction
13.2 Hardware
13.3 Software and architecture of wireless sensor network
13.4 Issues and challenges and applications
13.5 Wireless sensor network in healthcare
13.6 Real-time health monitoring and usage
13.7 Conclusion and future trends
References
Chapter 14. Wireless body area networks for healthcare in smart hospital
Abstract
14.1 Introduction
14.2 Advancement in wireless body area networks
14.3 Routing challenges in wireless body area networks
14.4 Conclusions
Acknowledgment
References
Chapter 15. Internet of medical things for accurate and sustainable medical decision making in heart disease management
Abstract
15.1 Introduction
15.2 Related work
15.3 Proposed approach
15.4 Experimental results
15.5 Conclusion
References
Chapter 16. Blockchain and smart contracts for wearable health sensing
Abstract
16.1 Introduction: the role of smart sensors in e-health and m-health
16.2 Blockchain for healthcare
16.3 Roles and use scenarios for the FAIR use of mobile/wearable data in healthcare
16.4 A blockchain-based architecture for FAIR data collection and use in pervasive healthcare
16.5 Using the traceable health data architecture for the conscious training of a machine learning model
16.6 Conclusions
References
Chapter 17. Blockchain technology for health insurance
Abstract
17.1 Introduction
17.2 Blockchain technology
17.3 Health insurance
17.4 Challenges in traditional health insurance
17.5 Analyzing health insurance challenges through a blockchain lens
17.6 Blockchain derivates for health insurance
17.7 Blockchain technology challenges in health insurance
17.8 Advanced extensions of blockchain in healthcare insurance
17.9 Conclusion: recap and future technical developments
References
Chapter 18. Blockchain for security and privacy in the smart healthcare
Abstract
18.1 Introduction
18.2 Blockchain in healthcare
18.3 Security challenges in smart healthcare
18.4 Blockchain solutions for smart healthcare security
18.5 Privacy enhancement through blockchain
18.6 Challenges and future directions
18.7 Conclusion
References
Chapter 19. Sensors and security considerations for emergency vehicles
Abstract
19.1 Introduction
19.2 Related work
19.3 Methodology
19.4 Sensors used in emergency vehicles
19.5 The integration of sensor technology in emergency operations
19.6 Security considerations and challenges to the sensors
19.7 Security threats
19.8 Discussion
19.9 Conclusion
References
Chapter 20. Swarm intelligence for Cancer Care 4.0/5.0
Abstract
20.1 Introduction
20.2 Swarm intelligence algorithms
20.3 Applications of swarm intelligence in cancer care
20.4 Challenges
20.5 Conclusion
Acknowledgments
References
Chapter 21. Exploring human-based digital twins in healthcare: a scoping review
Abstract
21.1 Introduction
21.2 Methodology
21.3 Results
21.4 Discussion on human-based digital twins
21.5 Strengths, weaknesses, opportunities, threats, enablers and barriers
21.6 Discussion
21.7 Conclusion
References
Chapter 22. Cloud security for smart sensor network
Abstract
22.1 Introduction
22.2 Smart sensor networks and their applications
22.3 Security challenges in cloud-integrated smart sensor networks
22.4 Security controls needed for the ecosystem
22.5 Machine learning and artificial intelligence in security
22.6 Conclusion
22.7 Future directions for research and development
AI disclosure
References
Chapter 23. Applications of fog computing for smart sensor network
Abstract
23.1 Introduction
23.2 Research methodology
23.3 A classification of the approaches of fog computing for smart sensors
23.4 Analysis of results
23.5 Open issues
23.6 Conclusion
References
Chapter 24. Quantum computing for smart healthcare
Abstract
24.1 Mission
24.2 Introduction
24.3 Related works
24.4 Security and privacy of data
24.5 Future direction
24.6 Discussion
24.7 Conclusion
References
Chapter 25. Knowledge graph-based reasoning in medical healthcare scenarios for IoT applications
Abstract
25.1 Introduction
25.2 Related work
25.3 Model
25.4 Conclusion
References
Chapter 26. MedSync: blockchain-driven electronic health record on cloud
Abstract
26.1 Introduction
26.2 Literature review on blockchain-based electronic health record systems
26.3 Methodology
26.4 System architecture
26.5 Implementation
26.6 Results and discussion
26.7 Comparative analysis
26.8 Conclusion
26.9 Future works
References
Chapter 27. Innovative artificial intelligence tools: exploring the future of healthcare through IBM Watson's potential applications
Abstract
27.1 Introduction
27.2 Theoretical background and how IBM Watson works
27.3 The role of IBM Watson in the healthcare sector
27.4 IBM Watson in dentistry and its practical implications
27.5 Introduction to Watson services
27.6 Challenges
27.7 Conclusion
References
Chapter 28. Multiple digital patient check-in through blockchain and medical sensor network
Abstract
28.1 Introduction
28.2 Background
28.3 Blockchain-enabled multipatient check-in system
28.4 Challenges to combine blockchain with medical sensors in multipatient check-in systems
28.5 Conclusion
References
Chapter 29. Integration of digital twin and blockchain for smart hospitals
Abstract
29.1 Introduction
29.2 Understanding digital twins
29.3 Digital twins in healthcare
29.4 The role of official data
29.5 Case studies
29.6 Future trends and directions
29.7 Regulatory and ethical considerations
29.8 Recommendations for policymakers and healthcare providers
29.9 Conclusion
References
Chapter 30. Challenges of sensor network in smart hospitals
Abstract
30.1 Introduction
30.2 Research methodology
30.3 Overview of reviewed studies
30.4 Discussion
30.5 Open challenges
30.6 Conclusion
References
Index

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Sensor Networks for Smart Hospitals

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Tuan Anh Nguyen