5G IoT and Edge Computing for Smart Healthcare (Intelligent Data-Centric Systems) - Softcover

Softcover

ISBN 10: 032390548X ISBN 13: 9780323905480

Publisher: Academic Press, 2022

Synopsis

5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge.

With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements.

• Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems
• Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time
• Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system

About this title

About the Authors

Dr. Akash Kumar Bhoi accomplished academic and researcher with over a decade of experience in Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, and Biomedical Computing. Recognized globally for research excellence, ranked in the Top 0.5% of Scholars worldwide (ScholarGPS, 2024 & 2025) and listed among the World’s Top 2% Scientists (Stanford University & Elsevier, 2022, 2023 & 2025). Prolific contributor with 200+ Scopus-indexed publications, multiple edited books with Springer/Elsevier, and an h-index of 39 (Google Scholar). Dr. Bhoi is currently associated with Graphic Era Deemed to be University, Dehradun. More than a decade of academic & research experience in India, Italy, Australia, and South Korea. Expertise spans computational intelligence, data analytics, healthcare informatics, biomedical signal and image processing, cloud/edge computing, and IoT applications.

Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.

Dr. Samarendra Nath Sur (M’2016). He received B.Sc degree in Physics (Hons.) from the University of Burdwan in 2007. He received M.Sc. degree in Electronics Science from Jadavpur University in 2007 and M.Tech degree in Digital Electronics and Advanced Communication from Sikkim Manipal University in 2012. He received his Ph. D degree from NIT, Durgapur. Since 2008, he has been associated with the Sikkim Manipal Institute of Technology, India, where he is currently an assistant professor in the Department of Electronics & Communication Engineering. His current research interests include Broadband Wireless Communication (MIMO and Spread Spectrum Technology), Advanced Digital Signal Processing, and Remote Sensing. He is a Member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE-IoT, IEEE Signal Processing Society, Institution of Engineers (India) (IEI) and International Association of Engineers (IAENG). He was the recipient of the University Medal & Dr. S.C. Mukherjee Memorial Gold Centered Silver Medal from Jadavpur University in 2007.

Paolo Barsocchi is a researcher at the Information Science and Technologies Institute (ISTI) of the National Research Council (CNR) at Pisa, Italy. He received his M.Sc. and Ph.D. degrees in information engineering from the University of Pisa in 2003 and 2007, respectively. Since 2017 he is Head of the Wireless Networks Research Laboratory. He is currently involved in several European projects, national and regional projects. The overall amount of attracted and managed funds both at European and national level is about €3M. He has been nominated as a regional competence reference person for advanced manufacturing solutions in Industry 4.0 in 2017, and as a contact person in the Cluster-PON call in 2017 for the CNR Department DIITET, which ISTI belongs to. His research interests are in the areas of internet of things (IoT), wireless sensor networks, cyberphysical systems, machine learning and data analysis techniques, smart environments, ambient assisted living, activity recognition and indoor localization.

From the Back Cover

With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of modern days’ requirements. The main aim of the modern healthcare system is to predict and to provide adequate support to the patient under emergency situations and more importantly to provide a personalized resource service for special users. And to address this issue, 5G IoT and Edge Computing for Smart Healthcare addresses the importance of 5G IoT and Edge-Cognitive-Computing-based system for successful implementation and realization of the smart-healthcare system.

The book provides the insight of 5G technologies to support the health care system along with the intelligent processing algorithms/processors adopted for processing the medical data that would assist in addressing the challenges in computer aided diagnosis and clinical risk analysis on a real time basis. Each chapter is self-sufficient to solve the real-time problem in healthcare industry through novel approaches that helps the audience to acquire the knowledge.

Edition details

• Publisher: Academic Press
• Publication date: 2022
• Language: English
• ISBN 10: 032390548X
• ISBN 13: 9780323905480
• Binding: Paperback
• Edition number: 1
• Number of pages: 324
• Editor: Bhoi PhD. Akash Kumar, De Albuquerque MSc PhD Victor Hugo Costa, Sur Samarendra Nath, Barsocchi MSc PhD Paolo