5G-Based Smart Hospitals and Healthcare Systems Evaluation, Integration, and Deployment Advancements in Intelligent and Sustainable Technologies and Systems Series

With the increase in the development of the advanced cellular communication system, it is assumed that several sectors, such as the health industry, education, transport industry, business model, and so on, will rapidly grow. However, the requirements of the above-mentioned sectors are different and difficult to fulfill. Hence, 5G will be integral to several networks and will also need a unique management system for its successful rollout around the globe.

5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment provides an overview of the role of advanced technologies in transforming the healthcare industry. It emphasizes the technical requirements of smart hospitals and the technologies associated with them along with explaining how technologies such as IoT, machine learning, and AI can be integrated with smart hospitals and 5G networks. The book evaluates several concerns such as privacy of data, infrastructure costs, and regular upgradability of technologies. Since the storage of information is a major concern with the implantation of 5G-based hospitals, this book will specifically address those issues along with examining the potential pitfalls of 5G-based hospitals and the factors that cause their failures.

This book specifically targets professionals, academicians, engineers, researchers, management firms, technical institutes, R&D establishments, and individuals researching in the fields of 5G, healthcare, medical sensors, IoT, big data, and related fields. The main objectives of this book are to accumulate state-of-the-art IoT, 5G, AI, and machine learning-based approaches for resolving healthcare problems.

1. A Hybrid Deep Learning based Remote Monitoring Healthcare System using Wearable Devices. 2. Advancements of Smart Hospital Integration with Health Services for Early Recognition of Shoulder Damage in Paraplegics: Improving Healthcare Standards Using Manual Assistive 5G Devices. 3. Fulfilling the Vision of Worldwide Communication in Health Care: A Study of Implant Wearable devices for the healthcare. 4. An Overview of Health Care Policy in India for Designing New Customised Health Services for the Patient. 5. Constraints Due to Regularization of Smart Hospitals: To Study the Impact of 5G Technology on the Financial Sector. 6. Integrating the Vertical and Horizontal Dimensions of Medical and Technology for Brain tumor Segmentation in medical image processing. 7. Analysis and Design of Next generation Wearable Antenna: Case Study in Wearable Device Health System. 8. A Smart Multimodal Biomedical Diagnosis Based on Patient’s Medical Questions and Symptoms. 9. Sliding Window Adaptive Filter for denoising PCG signals used in Healthcare Systems. 10. Integration of Meta Heuristic and FCM Approach for the Medical Diagnosis of an Organ. 11. A Review on Migration from 4G to 5G Network Architecture: Methods to Improve the Bandwidth, Latency, and Data Rate of a Network for Smart Hospitals. 12. Analysis of Routing Protocols for Wireless Sensor Net-work for Remote Healthcare System. 13. Smart Wearable Devices for Health Care Applications Using 5G Network. 14. Semantic Separation Based Kinematic Tracking with IoT and AI: Implementation and Challenges. 15. Interaction in Real-Time Communication: Artificial Intelligence based Face Recognition System with Aging Effect and other Medical Parameters. 16. An Intelligent IOT Based Smart Healthcare Monitoring System using Machine Learning.

Dr. Arun Kumar received his Ph.D. in electronics and communication engineering from JECRC University, Jaipur, India. He is an Associate Professor in Electronics and Communication Engineering at New Horizon College of Engineering in Bengaluru, India. Dr. Kumar has a total of 10 years of teaching experience and has published more than 82 research articles in SCI-E and Scopus Index journals, 2 books and 3 International patents (granted). His research interests are advanced waveforms for 5G mobile communication systems and 5G-based smart hospitals, PAPR reduction techniques in the multicarrier waveform, and spectrum sensing techniques. Dr. Kumar has successfully implemented different reduction techniques for multi-carrier waveforms such as NOMA, FBMC, UFMC, and so on, and has also implemented and compared different waveform techniques for the 5G system. Currently, he is working on the requirements of a 5G-based smart hospital system. He is a member of the IEEE and a reviewer for many refereed, indexed journals. He was the Lead Guest Editor of the Special Issue Journal titled “Advanced 5G Communication System for Transforming Healthcare” in the Journal CMC-Computers, Materials and Continua (Q2, SCI, Scopus, Impact Factor: 3.7). He has served as Co-Convenor, Technical Programme Committee (TPC) Member and Reviewer in various International Conferences such as ICPCCAI-2019, ICPCCAI-2020, IEEE ISMAC (2018), ESG2018 and so on.

Dr. Sumit Chakravarty currently works as an Assistant Professor of Electrical Engineering at Kennesaw State University. He has completed his doctoral studies from the University of Maryland, Baltimore County, and his Master of Science from Texas A&M University, Kingsville, both in Electrical Engineering. His Ph.D. dissertation is on the analysis of Hyperspectral Signatures and Data. He has multiple peer-reviewed journal publications, conference publications, a book chapter, and three granted patents (and one under review) besi