Smart Distributed Embedded Systems for Healthcare Applications
  1. 184 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology.



  • Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases.


  • Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering.


  • Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders.


  • Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare.


  • Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup.

Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.

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Yes, you can access Smart Distributed Embedded Systems for Healthcare Applications by Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla, Joel J. P. C. Rodrigues, A. K. Verma, Preeti Nagrath,Jafar A. Alzubi,Bhawna Singla,Joel J. P. C. Rodrigues,A. K. Verma in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Editors
  9. Contributors
  10. Chapter 1 Healthcare Engineering Using AI and Distributed Technologies
  11. Chapter 2 Cloud Computing in Healthcare: A Systematic Study
  12. Chapter 3 Medical Information Extraction of Clinical Notes and Pictorial Visualisation of Electronic Medical Records Summary Interface
  13. Chapter 4 Investigations on RFID-Enabled Healthcare Usage and Adoption Issues
  14. Chapter 5 Photonic Crystal Fiber Plasmonic Sensor for Applications in Medicine
  15. Chapter 6 Augmented Reality as a Boon to Disability
  16. Chapter 7 Augmented Reality and Virtual Reality: Transforming the Future of Psychological and Medical Sciences
  17. Chapter 8 Artificial Intelligence in Healthcare: Perspectives from Post-Pandemic Times
  18. Chapter 9 Bioweapons versus Computer-Based Counter Measure Techniques and Mathematical Modelling for the Prediction of COVID-19
  19. Chapter 10 Evolution of Healthcare Sector and Evolving Cyberattacks—A Summary
  20. Chapter 11 Improving Cardiovascular Health by Deep Learning
  21. Index