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Sensor Networks for Smart Hospitals

Tuan Anh Nguyen (Herausgeber)

Buch | Softcover
686 Seiten
2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-36370-2 (ISBN)
149,95 inkl. MwSt
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.

Tuan Anh Nguyen is Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam. He received B.S. in Physics from Hanoi University in 1992, and Ph.D. in Chemistry from the Paris Diderot University (France) in 2003. He was Visiting Scientist at Seoul National University (South Korea, 2004) and University of Wollongong (Australia, 2005). He then worked as Postdoctoral Research Associate and Research Scientist in the Montana State University (USA), 2006-2009. In 2012, he was appointed as the Head of the Microanalysis Department at Institute for Tropical Technology. His research activities include smart sensors, smart networks, smart hospitals, smart cities and digital twins. He edited over 70 Elsevier, 12 CRC Press, 1 Springer, 1 RSC and 2 IGI Global books. He is Editor-In-Chief of "Kenkyu Journal of Nanotechnology & Nanoscience".

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

Erscheinungsdatum
Verlagsort Philadelphia
Sprache englisch
Maße 191 x 235 mm
Gewicht 450 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 0-443-36370-6 / 0443363706
ISBN-13 978-0-443-36370-2 / 9780443363702
Zustand Neuware
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