Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare Applications and Use Cases

Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare presents an overview of the innovative concepts, technologies, and various biomedical applications of the Internet of Medical Things (IoMT).

Features:

? Provides insights into smart contracts, healthcare monitoring equipment, and the next generation of Internet of Things sensors to improve adherence to chronic disease management programs and patient health.

? Discusses the IoMT for personalized healthcare, security, and privacy issues of the IoMT in the healthcare sector.

? Elaborates on the opportunities and challenges of blockchain technology in the healthcare system.

? Focuses on the convergence of the IoMT and blockchain for emerging personalized healthcare systems.

? Presents techniques and methods to secure IoMT devices to protect them from cyberattacks.

This book is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, biomedical engineering, and electrical engineering.

1. Advanced Enabling Technologies of IoMT in Personalized Healthcare. 2. Deep learning interpretation of biomedical data in IoMT. 3. Machine learning for decision support systems in IoMT. 4. Secure Healthcare Systems: Recent and Future Applications. 5. Transforming Healthcare Management: Combining Blockchain, P2P Networks, and Digital Platforms. 6. Convergence of IoMT and Blockchain for Emerging Personalized Healthcare System: Challenges and use Cases. 7. Role of Access Control Mechanism for Blockchain-Enabled IoMT in Personalized Healthcare. 8. Protecting the Privacy of IoMT-Based Health Records Using Blockchain Technology. 9. Securing IoMT Devices to Protect the Future of Healthcare from rising cyber attacks. 10. Smart hand-hygiene compliance and temperature monitoring system to tackle COVID-19 like pathogens in healthcare institutions. 11. LDS – LVAT: Lie Detection System - Layered Voice Technology.

A. Prasanth is currently working as Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. He received the B.E. degree in Electronics and Communication Engineering, the M.E. degree in Computer Science and Engineering (with specialization in Networks) and the PhD degree in Information and Communication Engineering, all from Anna University, Chennai, India. Recently, he has received the Young Scientist Award from the International Scientist Award 2020 for his excellent research performance. He has also received Researcher of the Year Award 2020 from “2nd International Business and Academic Excellence Awards (IBAE)” at Delhi, held on 26 December 2020. Moreover, he has received the Young Researcher Award from the “Institute of Scholars Awards” 2020. He has published more than 45 research articles in reputed international journals, among which 15 articles are indexed in SCI and 30 articles are indexed in Scopus. He has published and granted two patents. Further, he has published more than 12 books under reputed publishers. He has served as Resource person in 25 faculty development programs. Moreover, he has served as Editorial Board Member in various reputed SCI journals. He has 9 years of teaching experience and his research interests include Internet of Things, Edge Computing, Cloud Computing, and 5G network.

Lakshmi D is presently working as Senior Associate Professor (Grade 2) in the School of Computer Science and Engineering at VIT Bhopal University, Madhya Pradesh, India. Till February 2021, she was designated as an Educational Research Officer at Vishnu Educational Development and Innovation Centre and Associate Professor at B V Raju Institute of Technology run by Shri Vishnu Educational Society, Hyderabad, from 2016 to February 2021. She has been working in the educational sector since 1998. Her key research f