
- 668 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Sensor Networks for Smart Hospitals
About this book
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.
- Describes the fundamentals of sensors, biosensors, and smart hospitals
- Explains how sensors and implanted nanodevices can be used in smart healthcare
- Discusses how intelligent wireless medical sensor networks can be used for healthcare in the future
- Companion volume to Advanced Sensors for Smart Healthcare
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Table of contents
- Title of Book
- Chapter 1. From digital to smart hospitals: past, present and the future
- Chapter 2. Transforming healthcare through advanced sensing technologies
- Chapter 3. Smart body area networks
- Chapter 4. Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
- Chapter 5. Blockchain for security and privacy in the smart sensor network
- Chapter 6. Medical sensor network, blockchain and digital twin as the backbones of a connected ecosystem of smart hospitals
- Chapter 7. Digital twins and medical sensor network to analyze start-up delay in smart infusion pump
- Chapter 8. Healthcare data management using blockchain-enabled sensor networks
- Chapter 9. Sensor networks and blockchain platforms for the future healthcare
- Chapter 10. Digital twin and sensor networks for healthcare monitoring frameworks
- Chapter 11. Wireless body area network for e-health application
- Chapter 12. Anonymity preserving security protocol for wireless body area networks: towards the secure remote patient healthcare monitoring
- Chapter 13. Wireless sensor networks for smart healthcare
- Chapter 14. Wireless body area networks for healthcare in smart hospital
- Chapter 15. Internet of medical things for accurate and sustainable medical decision making in heart disease management
- Chapter 16. Blockchain and smart contracts for wearable health sensing
- Chapter 17. Blockchain technology for health insurance
- Chapter 18. Blockchain for security and privacy in the smart healthcare
- Chapter 19. Sensors and security considerations for emergency vehicles
- Chapter 20. Swarm intelligence for Cancer Care 4.0/5.0
- Chapter 21. Exploring human-based digital twins in healthcare: a scoping review
- Chapter 22. Cloud security for smart sensor network
- Chapter 23. Applications of fog computing for smart sensor network
- Chapter 24. Quantum computing for smart healthcare
- Chapter 25. Knowledge graph-based reasoning in medical healthcare scenarios for IoT applications
- Chapter 26. MedSync: blockchain-driven electronic health record on cloud
- Chapter 27. Innovative artificial intelligence tools: exploring the future of healthcare through IBM Watson's potential applications
- Chapter 28. Multiple digital patient check-in through blockchain and medical sensor network
- Chapter 29. Integration of digital twin and blockchain for smart hospitals
- Chapter 30. Challenges of sensor network in smart hospitals
- Index
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Yes, you can access Sensor Networks for Smart Hospitals by Tuan Anh Nguyen in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.