Convergence of Blockchain and Internet of Things in Healthcare Smart Engineering Systems: Design and Applications Series

The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers.

Key Features:

• Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology
• Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain
• Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology
• Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology
• Tailored for people who want to start in healthcare-related technology with blockchain and IoT

This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

1. Lung Disease Diagnosis using Machine Learning from a Bibliometric Perspective. 2. Industry 4.0 in Manufacturing, Communication, Transportation, and Healthcare. 3. Role and Impact of Blockchain-IoT Enabled Supply Chain Management Model for Medical Supply. 4. The Internet of Things in Healthcare: A Remote Patient Monitoring System. 5. Revolutionizing Industry 4.0 with Blockchain Technology: Opportunities and Challenges. 6. Prediction of breast cancer using ML techniques for health data. 7. Design and Development of an IoT based Smart Medical Device. 8. Revolutionary Finance: Impact of Blockchain and Distributed Ledger Technology on the Financial Industry. 9. Barriers and Benefits of Blockchain Adoption in the Healthcare System. 10. Deep Learning-based Renal Biopsy Image Analysis for Diagnosing Diabetic Kidney Disease. 11. Blockchain, Evolution and Future Scope: An Overview. 12. Covid-19 Detection and Pandemic Prevention System Using Data Science. 13. Use of machine learning and IoT in Smart Farming: The Future of Agriculture. 14. Comprehensive Analysis of Blockchain Frameworks and Their Usability for Internet of Things Applications. 15. IoT and Healthcare: Development, Architecture, Security, and its applicability in Healthcare. 16. Convergence of Blockchain and IoT in Healthcare: Opportunities and Challenges. 17. From Remote Monitoring to Personalized Care: A Review of IoT-based Patient Engagement Solutions in Healthcare. 18. Fusion Strategies for Image Processing based Multimodal Biometric System.

Arun Kumar Rana completed his BTech degree at Kurukshetra University, and his MTech and PhD at Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include image processing, wireless sensor networks, the Internet of Things, AI, and machine learning and embedded systems. Dr Rana is currently an assistant professor at the Galgotias College of Engineering and Technology, Greater Noida, India, with more than 16 years of experience. Dr Rana is a collaborative researcher and has published more than 110 SCI/ESCI/Scopus/others papers in national and international journals and conference papers. He has also published 10 books with national and international publishers including Taylor & Francis. He has also attended 15 workshops and 12 faculty development programs (FDP). He has guided six MTech candidates. He serves as an editor or reviewer for several international journals and conferences and served as keynote speaker. He is also a member of the Asia Society of Research and SIRG (Scientific Innovation Research Group), Egypt. He has published/granted 10 national and international patents. He has conducted many workshops on IoT and its applications in engineering, wireless networks, and simulators, and teaches the latest techniques related to wireless and IoT technology. He is listed in the world scientist rankings for 2021 and 2022. He was guest editor for the special issue "Routing and Protocols for Energy Efficient Communication," MDPI, SCI, IF-3.004 (Q2).

Vishnu Sharma is a professor and dean of the Department of Computer Science and Engineering at ITS College of Engineering, Greater Noida, India. He earned his BTech, MTech, and PhD from Madhav Institute of Technology & Science (M.I.T.S.), Gwalior, India, in Computer Science and Engineering, and is affiliated with Rajiv Gandhi Technical University, Bhopal. He has published 100-plus papers on MANETs, AI, machine learning, IoT, cryptogr