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