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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Academic and Postgraduate
Illustrationen
41 s/w Abbildungen, 12 farbige Abbildungen, 5 s/w Photographien bzw. Rasterbilder, 1 Farbfoto bzw. farbiges Rasterbild, 36 s/w Zeichnungen, 11 farbige Zeichnungen, 15 s/w Tabellen
15 Tables, black and white; 11 Line drawings, color; 36 Line drawings, black and white; 1 Halftones, color; 5 Halftones, black and white; 12 Illustrations, color; 41 Illustrations, black and white
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-1-77491-325-3 (9781774913253)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Saravanan Krishnan, PhD, is working as an Associate Professor in the Department of Computer Science and Engineering at the College of Engineering, Guindy, Anna University, Chennai, Tamil Nadu, India. He has published papers at international conferences and in international journals. He has also written book chapters and edited eight books with international publishers. He has done consultancy work for several municipal corporations and smart city schemes. An active researcher and academician, he is also a reviewer for many reputed journals published by Elsevier, IEEE, etc. He is a member of the Indian Society for Technical Education, The Institution of Engineers (India), Indian Science Congress Association, Association for Computing Machinery, among others. His research interests include cloud computing, software engineering, Internet of Things, and smart cities. He has an ME in Software Engineering and a PhD in Computer Science Engineering.
Aboobucker Ilmudeen, PhD, is working as a Senior Lecturer in Management and Information Technology, attached to the Department of Management and Information Technology of the Faculty of Management and Commerce, South Eastern University of Sri Lanka. His research areas are managing IT investment, IT governance, healthcare applications, big data, and IT capabilities and innovation. He has over 15 research articles that have been published in reputed journals. He has also published many book chapters with publishers such as Elsevier, Springer, CRC Press, Taylor and Francis, IGI Global, and De Gruyter.
Herausgeber*in
Anna University, India
South Eastern University of Sri Lanka, Oluvil
1. IoMT-Based Telemedicine Monitoring Machine for IoMT-Based Patients 2. COVID-19 Detection Using Convolutional Neural Networks from Chest X- Ray Images 3. An AI-Powered IoMT Model for Continuous Remote Patient Monitoring Using COVID Early Warning Score (COEWS) 4. Automatic Intravenous Fluid and Health Monitoring Using IoT System 5. Hygieia: Multipurpose Healthcare Assistance Using the Internet of Things 6. Edge Computing and Artificial Intelligence Systems Adopted in Smart Health Care: A Comprehensive Survey in Real-Time COVID-19 Pandemic 7. Decision Support and Knowledge Representation in Health Care 8. Roadmap of AI and IoMT in Smart Healthcare: Current Applications and Future Perspectives 9. Social, Professional, Ethical, and Security Issues Associated with IoMT and Smart Healthcare: Post-COVID-19 Pandemic Scenario 10. Smart Healthcare: Impacts, Implications, and Challenges for Future Healthcare Delivery 11. IoMT-Based Caring System for Aged People in a Post-COVID Scenario
