5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge.
With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements.
1. 5G IoT and Edge Computing for Smart Healthcare - p. ii 2. Cover - p. ii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xiii 7. Chapter 1 Edge-IoMT-based enabled architecture for smart healthcare system - p. 1 8. Chapter 2 Physical layer architecture of 5G enabled IoT/IoMT system - p. 29 9. Chapter 3 HetNet/M2M/D2D communication in 5G technologies - p. 45 10. Chapter 4 An overview of low power hardware architecture for edge computing devices - p. 89 11. Chapter 5 Convergent network architecture of 5G and MEC - p. 111 12. Chapter 6 An efficient lightweight speck technique for edge-IoT-based smart healthcare systems - p. 139 13. Chapter 7 Deep learning approaches for the cardiovascular disease diagnosis using smartphone - p. 163 14. Chapter 8 Advanced pattern recognition tools for disease diagnosis - p. 195 15. Chapter 9 Brain-computer interface in Internet of Things environment - p. 231 16. Chapter 10 Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography - p. 257 17. Chapter 11 Applications of wearable technologies in healthcare: an analytical study - p. 279 18. Index - p. 301
5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge.
With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements.
1. 5G IoT and Edge Computing for Smart Healthcare - p. ii 2. Cover - p. ii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of Contributors - p. xiii 7. Chapter 1 Edge-IoMT-based enabled architecture for smart healthcare system - p. 1 8. Chapter 2 Physical layer architecture of 5G enabled IoT/IoMT system - p. 29 9. Chapter 3 HetNet/M2M/D2D communication in 5G technologies - p. 45 10. Chapter 4 An overview of low power hardware architecture for edge computing devices - p. 89 11. Chapter 5 Convergent network architecture of 5G and MEC - p. 111 12. Chapter 6 An efficient lightweight speck technique for edge-IoT-based smart healthcare systems - p. 139 13. Chapter 7 Deep learning approaches for the cardiovascular disease diagnosis using smartphone - p. 163 14. Chapter 8 Advanced pattern recognition tools for disease diagnosis - p. 195 15. Chapter 9 Brain-computer interface in Internet of Things environment - p. 231 16. Chapter 10 Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography - p. 257 17. Chapter 11 Applications of wearable technologies in healthcare: an analytical study - p. 279 18. Index - p. 301
