IoT in Healthcare Systems (eBook, PDF)

Applications, Benefits, Challenges, and Case Studies
Redaktion: Shukla, Piyush Kumar; Tiwari, Basant; Parashar, Prashant; Shukla, Prashant Kumar; Patel, Aditya

• Format: PDF

Produktbeschreibung

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 IoT technologies related to the healthcare field and covers the main advantages and disadvantages along with case studies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 230
• Erscheinungstermin: 24. Mai 2023
• Englisch
• ISBN-13: 9781000858815
• Artikelnr.: 67820911

Autorenporträt

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 of Engineering in Software Systems from RGPV, Bhopal in 2010 and Ph.D. in Computer Science and Engineering in 2018 from Dr. K. N. Modi University, Rajasthan, India. Presently, he works as an Assistant Professor and Research Coordinator in Jagran Lakecity University, Bhopal (MP) India. He has been in research, teaching, Hackathon events and industry for the past 19 years. His research interests include Machine Learning, Deep Learning, Computer Vision, Internet of Things (IoT), Software Engineering, Computer Networking, Mobile Computing, Information Security, Python and Java Programming concerns. He has 13 patents and has published and presented more than 17 research papers in various national and international journals and conferences. He has published 2 chapters in an edited book and received the "Innovative Teacher" award" by GISR Foundation and The American College of DUBAI at Dubai, UAE. He also was awarded the "Best Researcher" by ESN Publications, Tamilnadu, India. He is a member of 25 editorial and reviewer boards in national and international research journals. He has attended and organized more than 25 workshop, seminar, conference, FDP and training programs. He is associated with 2 start-ups. Dr. Prashant Parashar is an experienced Information Security professional (CISA, CISSP), with around sixteen years of experience in the Information Security domain. He currently works with Betfair, UK as a Security Analyst. His experience includes Align IT Security Governance, Information Security Management, Auditing and Compliance, Information Security Metrics, Development and implementation of Information security policy, procedures and ISMS implementation in line with ISO 27001 requirements. Dr. Basant Tiwari is currently serving as Assistant Professor in the Computer Science and Engineering Department at Hawassa University, Ethiopia. He has experience in teaching undergraduate and postgraduate classes and has many international and national publications to his credit with conferences and journals, as well as edited handbooks. He has also attended many national and international conferences, workshops, seminars, and symposiums. His current area of research is Pervasive Computing in Healthcare and IoT and Information and Network Security. He is a Senior Member of IEEE, Senior Member of ACM, and a Life Member of CSI and IACSIT. He is also chairing one research organization iMPLab situated at Bhopal, India. Prof. Tiwari has organized various national and international conferences and delivered invited talks and also chaired technical sessions. He is a reviewer of various reputed international journals and books. He did his M. Tech. (CSE) from Rajiv Gandhi Technical University, Bhopal and Ph. D. from Devi Ahilya University, Indore.

Inhaltsangabe

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