Internet of Medical Things in Smart Healthcare
eBook - ePub

Internet of Medical Things in Smart Healthcare

Post-COVID-19 Pandemic Scenario

  1. 238 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Internet of Medical Things in Smart Healthcare

Post-COVID-19 Pandemic Scenario

About this book

The COVID-19 epidemic has helped to expand the function of the Internet of Medical Things in healthcare at an exponential rate. This book offers a comprehensive exploration of IoMT in the post-COVID-19 era, providing an overview of modern technologies used for the improvement of healthcare, such as IoT, artificial intelligence, robotics, big data, and wearable devices used in healthcare applications, with a focus on the detection and treatment of COVID-19 and related viruses. The volume presents the principles, state-of-the-art developments, architecture, real-world applications, actual case studies, results of IoMT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in IoMT-based telemedicine, health monitoring, early COVID detection, automatic intravenous fluids feeds, chest x-ray images, data collection for decision-making, security of health information, and more. This volume provides an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems.

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Yes, you can access Internet of Medical Things in Smart Healthcare by Saravanan Krishnan, Aboobucker Ilmudeen, Saravanan Krishnan,Aboobucker Ilmudeen in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Abbreviations
  9. Preface
  10. Chapter 1 IoMT-Based Telemedicine Monitoring Machine for COVID Patients
  11. Chapter 2 COVID-19 Detection Using Convolutional Neural Networks from Chest X-Ray Images
  12. Chapter 3 An AI-Powered IoMT Model for Continuous Remote Patient Monitoring using COVID Early Warning Score (CoEWS)
  13. Chapter 4 Automatic Intravenous Fluid and Health Monitoring using an IoT System
  14. Chapter 5 Hygieia: Multipurpose Healthcare Assistance Using the Internet of Things
  15. Chapter 6 Edge Computing and Artificial Intelligence Systems Adopted in Smart Healthcare: A Comprehensive Survey in Real-Time COVID-19 Pandemic
  16. Chapter 7 Decision Support and Knowledge Representation in Healthcare
  17. Chapter 8 Roadmap of AI and IoMT in Smart Healthcare: Current Applications and Future Perspectives
  18. Chapter 9 Social, Professional, Ethical, and Security Issues Associated with IoMT and Smart Healthcare: Post-COVID-19 Pandemic Scenario
  19. Chapter 10 Smart Healthcare: Impacts, Implications, and Challenges for Future Healthcare Delivery
  20. Chapter 11 IoMT-Based Caring System for Aged People in a Post-COVID Scenario
  21. Index