Immersive Virtual and Augmented Reality in Healthcare

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems.

Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy.

A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.

Dr. Rajendra Kumar is presently working as an Associate Professor in the CSE Department at Sharda University, India. He holds a Ph.D., M.Tech. and B.E. (all in Computer Science). He has 24 years of teaching and research experience at various accredited institutes and universities like Chandigarh University (NAAC A+). His field of interest includes IoT, Deep Learning, HCI, Pattern recognition, and Theoretical Computer Science. He is the author of 5 textbooks, editor of 7 conference proceedings, has chaired 3 sessions in international conferences, and published more than 30 papers, 3 patents, and 2 monographs.

Dr. Vishal Jain is presently working as an Associate Professor at Sharda University, Greater Noida, U.P. He has also worked at Bharati Vidyapeeths Institute of Computer Applications and Management, New Delhi. He has more than 16 years of teaching and research experience. He holds a Ph.D. (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. Dr. Jain has more than 600 citations and has authored more than 90 research papers, and authored and edited more than 25 books with various reputed publishers. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad-hoc & sensor networks.

Dr. Garry Tan Wei Han is an Associate Professor at the UCSI Graduate Business School, UCSI University. He has been acknowledged as the world’s "10 Most Productive and Influential Authors in Mobile Commerce and Applications" in 2016, "Top 3 Authors in the World" in Mobile Commerce in 2017, "World's Top 10 Core Authors" in Social Commerce in 2018 and "Top 5 Most Productive Authors in the World" in the area of Mobile Commerce in 2019 and 2021. He was also the recipient of the National Outstanding Reviewer (2019) by Private Education Co-operative (Malaysia), Outstanding Reviewer Award (2019) by Internet Research, Emerald (UK), Top Downloaded Technological Forecasting and Social Change Article (2019) by Elsevier (US), Emerald Outstanding Contribution Award (2020) by Emerald (UK), Top Reviewer Award (2020) by Sustainable Production and Consumption (Elsevier) (US), Most Cited Telematics and Informatics Article (2021) by Elsevier (US), Most Cited Expert Systems with Application Article (2021) by Elsevier (US), Highly Cited Paper (2022) by Clarivate Analytics (US), Most Cited Journal of Computer Information System Article (2022) by Taylor and Francis (UK) and Most Cited Technology in Society Article (2022) by Elsevier (US). Dr. Abderezak Touzene is a full professor of Computer Science at the College of Science, Sultan Qaboos University, Muscat, Sultanate of Oman. He has more than 30 years of teaching and research experience. Before joining Sultan Qaboos University, he has also worked at King Saud University, Saudi Arabia, and Grenoble Institute of Technology, France. He obtained his Ph.D. from Institut Polytechnique de Grenoble, France (1992), M.Sc. from Paris University, France (1989), and B.Sc. from University of Technology Houari Boumedien, Algeria (1987) His area of interest include Smart Systems, Cloud computing, Cybersecurity, Machine Learning, Big Data analytics, IoT, etc. In the last five years, he has published 23 Journals and 11 conference publications. He has received 8 research grants and is on the editorial board of several journals and conferences.