Sensor Networks for Smart Hospitals

by Tuan Anh Nguyen PhD (Editor)

Overview

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

Product Details

ISBN-13:	9780443363719
Publisher:	Elsevier Science
Publication date:	01/17/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	600
File size:	24 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

1. From Digital to Smart Hospitals: Past, Present and the Future2. Transforming Healthcare through Advanced Sensing Technologies3. Smart body area networks4. Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes5. Blockchain for security and privacy in the smart sensor network6. Medical sensor network, blockchain and digital twin as the backbones of a connected ecosystem of smart hospitals7. Digital twins and medical sensor network to analyze start-up delay in smart infusion pump8. Healthcare data management using blockchain-enabled sensor networks9. Sensor network and blockchain platform for the future healthcare10. Digital twin and sensor networks for healthcare monitoring frameworks11. Wireless body area network for e-health application12. Anonymity Preserving Security Protocol for Wireless Body Area Networks: Towards the Secure Remote Patient Healthcare Monitoring13. Wireless sensor networks for smart healthcare14. Wireless Body Area Networks for Healthcare in Smart Hospital15. Internet of Medical Things for Accurate and Sustainable Medical Decision-Making in Heart Disease Management16. Blockchain and Smart Contracts for Wearable Health Sensing17. Blockchain Technology for health Insurance18: Blockchain for security and privacy in the smart healthcare19. Sensors and Security Considerations for Emergency Vehicles20. Swarm Intelligence for Cancer Care 4.0/5.021. Exploring Human-Based Digital Twins in Healthcare: A Scoping Review22. Cloud security for smart sensor network23. Applications of fog computing for smart sensor network24. Quantum computing for smart healthcare25. Knowledge Graph-based Reasoning in Medical Healthcare Scenarios for IoT Applications26. MedSync: Blockchain-Driven EHR on Cloud27. Innovative AI Tools Exploring the Future of healthcare through IBM Watsons Potential Applications28. Multiple digital patient check-in through blockchain and medical sensor network29. Integration of Digital Twin and Blockchain for smart hospitals30. Challenges of sensor network in smart hospitals