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.
1. From Digital to Smart Hospitals: Past, Present and the Future 2. Transforming Healthcare through Advanced Sensing Technologies 3. Smart body area networks 4. Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes 5. Blockchain for security and privacy in the smart sensor network 6. Medical sensor network, blockchain and digital twin as the backbones of a connected ecosystem of smart hospitals 7. Digital twins and medical sensor network to analyze start-up delay in smart infusion pump 8. Healthcare data management using blockchain-enabled sensor networks 9. Sensor network and blockchain platform for the future healthcare 10. Digital twin and sensor networks for healthcare monitoring frameworks 11. Wireless body area network for e-health application 12. Anonymity Preserving Security Protocol for Wireless Body Area Networks: Towards the Secure Remote Patient Healthcare Monitoring 13. Wireless sensor networks for smart healthcare 14. Wireless Body Area Networks for Healthcare in Smart Hospital 15. Internet of Medical Things for Accurate and Sustainable Medical Decision-Making in Heart Disease Management 16. Blockchain and Smart Contracts for Wearable Health Sensing 17. Blockchain Technology for health Insurance 18: Blockchain for security and privacy in the smart healthcare 19. Sensors and Security Considerations for Emergency Vehicles 20. Swarm Intelligence for Cancer Care 4.0/5.0 21. Exploring Human-Based Digital Twins in Healthcare: A Scoping Review 22. Cloud security for smart sensor network 23. Applications of fog computing for smart sensor network 24. Quantum computing for smart healthcare 25. Knowledge Graph-based Reasoning in Medical Healthcare Scenarios for IoT Applications 26. MedSync: Blockchain-Driven EHR on Cloud 27. Innovative AI Tools Exploring the Future of healthcare through IBM Watsons Potential Applications 28. Multiple digital patient check-in through blockchain and medical sensor network 29. Integration of Digital Twin and Blockchain for smart hospitals 30. Challenges of sensor network in smart hospitals
Tuan Anh Nguyen is a Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam. He received a BS in physics from Hanoi University in 1992, a BS in economics from Hanoi National Economics University in 1997, and a PhD in chemistry from the Paris Diderot University, France, in 2003. He was a Visiting Scientist at Seoul National University, South Korea, in 2004, and the University of Wollongong, Australia, in 2005. He then worked as a Postdoctoral Research Associate and Research Scientist at Montana State University, United States in 2006-09. In 2012 he was appointed as the Head of the Microanalysis Department at the Institute for Tropical Technology. His research areas of interest include smart sensors, smart networks, smart hospitals, smart cities, complexiverse, and digital twins. He has edited more than 74 books for Elsevier, 12 books for CRC Press, 1 book for Springer, 1 book for RSC, and 2 books for IGI Global. He is the Editor-in-Chief of Kenkyu Journal of Nanotechnology & Nanoscience.
