IoT in Healthcare Systems
Applications, Benefits, Challenges, and Case Studies
Artificial Intelligence in Smart Healthcare Systems Series

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients? health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies.

This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.

The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

1. Artificial Intelligence-Based Smart Medical Services, 2. Securing IoT Devices for Healthcare Systems Using Optimization-Based Approaches, 3. Internet of Everything- Based Advanced Big Data Journey for the Medical Industry, 4. IoT in Smart Rehabilitation, 5. Internet of Things in Smart and Intelligent Healthcare Systems, 6. Energy Harvesting for IoT Networks in Smart and Intelligent Networks, 7. IoT Healthcare Applications, 8. Applications, Opportunities, and Current Challenges in the Healthcare Industry, 9. Internet of Things- Healthcare System Architectures to Enhance the Healthcare Industry, 10. An IoT- Based Moving Vehicle Healthcare Service, 11. DDoS Attack Detection Using Predictive Machine Learning (ML) Algorithms in Wireless Body Area Network Environments

Dr. Piyush Kumar Shukla is working as an Associate Professor in the Department of Computer Science and Engineering at the University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, M.P., India. He has 15 years experience in teaching and research. He has completed Post Doctorate Fellowship (PDF) recently under "Information Security Education and Awareness Project Phase II" funded by the Ministry of Electronics and Information Technology (MeitY), from SVNIT Surat, Gujarat, India in the Department of Computer Engineering. He had completed his PhD Degree in Computer Science and Engineering from the Department of CSE, UIT, RGPV, Bhopal. His research interests include White-Box Cryptography, Information Security and Privacy, Cyber Security, Dynamic Wireless Network, Machine Learning, Internet of Things, Image Processing, Blockchain, and IoT. He has published 3 books with international publishers and also has published many book chapters as well. In addition to publishing more than 15 Indian Patents and around 10 papers in international journals, he recently was awarded "Best Researcher” of the Year-2019 for Outstanding Research Contribution. He has delivered several Expert/Guest Lectures, attended seminars and chaired sessions at various international conferences. Dr Shukla is a Senior Life Member of IEEE. He is actively serving as a reviewer in various journals and also an Editorial Board Member of many reputed journals.

Prof. Aditya Patel is currently working as an Assistant Professor in the Department of Computer Science and Engineering, Lakshmi Narain College of Technology Bhopal. He has more than 50 websites and software’s till date. He has 4 years of teaching experience in various reputed technical colleges and universities along with 2 years industry experience. His current research areas are Machine Learning, Deep Learning and IOT.

Dr. Prashant Kumar Shukla received his Master