Internet of Medical Things in Smart Healthcare: Post-COVID-19 Pandemic Scenario

The COVID-19 epidemic has accelerated the growth of the Internet of Medical Things (IoMT) in healthcare, focusing on technologies like IoT, AI, robotics, big data, and wearable devices for COVID-19 detection and treatment. This book covers principles, developments, applications, case studies, and sensor-based systems, exploring AI in telemedicine, health monitoring, and early COVID detection. It provides insights into healthcare systems' real applications, development, and architectural frameworks.

Format: Hardback
Length: 238 pages
Publication date: 01 December 2023
Publisher: Apple Academic Press Inc.

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.

Dimension: 229 x 152 (mm)
ISBN-13: 9781774913253