5G IoT and Edge Computing for Smart Healthcare
eBook - ePub

5G IoT and Edge Computing for Smart Healthcare

  1. 324 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

5G IoT and Edge Computing for Smart Healthcare

About this book

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. - Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems - Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time - Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system

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Yes, you can access 5G IoT and Edge Computing for Smart Healthcare by Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Samarendra Nath Sur,Paolo Barsocchi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. 5G IoT and Edge Computing for Smart Healthcare
  2. Chapter 1 Edge-IoMT-based enabled architecture for smart healthcare system
  3. Chapter 2 Physical layer architecture of 5G enabled IoT/IoMT system
  4. Chapter 3 HetNet/M2M/D2D communication in 5G technologies
  5. Chapter 4 An overview of low power hardware architecture for edge computing devices
  6. Chapter 5 Convergent network architecture of 5G and MEC
  7. Chapter 6 An efficient lightweight speck technique for edge-IoT-based smart healthcare systems
  8. Chapter 7 Deep learning approaches for the cardiovascular disease diagnosis using smartphone
  9. Chapter 8 Advanced pattern recognition tools for disease diagnosis
  10. Chapter 9 Brain-computer interface in Internet of Things environment
  11. Chapter 10 Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography
  12. Chapter 11 Applications of wearable technologies in healthcare: an analytical study
  13. Index