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, thi...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Science & Technology
2025
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| Schlagwörter: | |
| Zusammenfassung: | 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 |
| Beschreibung: | 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 |
| Umfang: | 450 gr |
| ISBN: | 9780443363702 |
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| 500 | |a 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. | ||
| 500 | |a - 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. | ||
| 500 | |a - 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 | ||
| 520 | |a 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 | ||
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| spelling | Nguyen, Tuan Anh Verfasser aut Sensor Networks for Smart Hospitals Elsevier Science & Technology 2025 450 gr txt rdacontent n rdamedia nc rdacarrier 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 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 bicssc bisacsh |
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