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5G IoT and Edge Computing for Smart Healthcare - Research Book

5G IoT and Edge Computing for Smart Healthcare

Good Research Book in 5G IoT and Edge Computing for Smart Healthcare

Author(s) Name:  Akash Bhoi, Victor de Albuquerque, Samarendra Sur, Paolo Barsocchi

About the 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.

Table of Contents

  • Chapter 1. Edge-IoMT-based enabled architecture for smart healthcare system
  • Chapter 2. Physical layer architecture of 5G enabled IoT/IoMT system
  • Chapter 3. HetNet/M2M/D2D communication in 5G technologies
  • Chapter 4. An overview of low power hardware architecture for edge computing devices
  • Chapter 5. Convergent network architecture of 5G and MEC
  • Chapter 6. An efficient lightweight speck technique for edge-IoT-based smart healthcare systems
  • Chapter 7. Deep learning approaches for the cardiovascular disease diagnosis using smartphone
  • Chapter 8. Advanced pattern recognition tools for disease diagnosis
  • Chapter 9. Brain-computer interface in Internet of Things environment
  • Chapter 10. Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography
  • Chapter 11. Applications of wearable technologies in healthcare: an analytical study
  • ISBN:  9780323905480

    Publisher:  Elsevier

    Year of Publication:  2022

    Book Link:  Home Page Url