Biomedical Engineering/Nanotechnology

Internet of Everything (IoE) for Biomedical Applications
Editors: Vandana Roy, PhD
Piyush Kumar Shukla, PhD
Anoop Kumar Chaturvedi, PhD
Priti Maheshwary, PhD

Internet of Everything (IoE) for Biomedical Applications

In Production
Pub Date: Forthcoming July 2023
Hardback Price: $169.95 US | £131.00
Hard ISBN: 9781774913925
Pages: Est. 291pp w/index
Binding Type: Hardback/ eBook
Notes: 13 color, 57 b/w illustrations

Biomedical applications coupled with IoT advancements help to bridge the gap between the physical and digital worlds, creating a hyper-connected society where objects are utilized not only to share data but are also becoming increasingly intelligent and aware of their context. This book takes a look into applications of the Internet of Things (IoT) in clinical patient diagnosis, treatment, and monitoring.

The book approaches networking, databases, and privacy from a biomedical systems-level perspective, considering human concerns as well as technical considerations. Many of the chapters focus on cutting-edge technology involving the Internet of Things and biomedical engineering in everyday life in the 21st century.

The book explores the use of Internet of Things (IoT) devices to track the health of patients, devices for use in various emergency situations, and devices for the smart management of patients. It discusses smart healthcare systems, remote and near-patient monitoring, rare disease diagnosis, and smart wearable healthcare devices for health monitoring. Chapters look at this technology for cardiac analysis in e-healthcare, and the book also discusses the importance of the Internet of Things (IoT) in biomedical applications such as electroencephalography (EEG) and magnetic resonance imaging (MRI). Chapters also look at the incorporation of Internet of Things applications with the usage of smart wheelchairs, telemedicine, GPS locations, etc.

Internet of Everything (IoE) for Biomedical Applications will be valuable for academicians and students, industry practitioners, and researchers in biomedical engineering, bioinformatics, and computer science.

CONTENTS:
Preface
1. Smart Healthcare Systems Using the Internet of Everything (IoE)
Chanchal Lohi, Piyush Kumar Shukla, and Ratish Agrawal

2. IoE-Enabled Healthcare Systems for Remote and Near Patient Monitoring
Garima Tiwari, Amit Baghel, and Abhijeet Pathak

3. Data Acquisition, Monitoring, and Controlling in Patients’ Healthcare Systems Using Internet of Everything
Preety Verma, Garima Tiwari, and Rajeev Shrivastava

4. IoE-Enabled Healthcare 4.0 Systems
Jashwant Samar, Rakesh Kumar, and Priti Maheshwary

5. Architecture for Healthcare Process Improvement Using IoE
Rajeev Shrivastava, Preety Verma, and Anil Kumar Sahu

6. IoE and Deep Learning-Based E-Health System
Geetanjli Khambra Raghuwanshi, Prabha Biju Chacko, Ashish Dilraj, and Ashutosh Singh Raghubanshi

7. IoE-Based E-Healthcare Decision Support (HDS) Systems
Shubham Joshi

8. Predicting Epidemic Outbreaks Using Deep Learning
Swapna Mudrakola, S. Shitharth, K. Sangeetha, and Nagaratna Hegde

9. Medical Data Analytics Using IoE and Evolutionary Technique
Neeraj Kumar Rathore, Shubhangi Pande, Rakesh Kumar Bhujade, and Manmohan Singh

10. IoE-Based Intelligence Systems for Chronic Disease Diagnosis
Puja Gupta, Upendra Singh

11. IoT-Based Rehabilitation Monitoring for Stroke Survivors
Meena Gupta, Prakash Kumar, Divya Pandey, and Varsha Chorsiya

12. IoE-Enabled Healthcare 4.0 Systems
Shweta Bansal, Shalini Gambhir, Amar Saraswat, and Ashwani Kumar

13. A Survey on Data Security Challenges in Healthcare Systems Using the Internet of Things Techniques
Ruchi Billore, Manish Pandey, and Santosh Sahu

14. IoE Applications for Healthy and Safe Life after Covid-19 Pandemic
Ratnesh Kumar Dubey

15. IoE and Cloud Computing Based-Biomedical Health Monitoring Systems
Puja Gupta, Mukul Shukla, and Upendra Singh

Index


About the Authors / Editors:
Editors: Vandana Roy, PhD
Asst. Professor, ECE Department, Hitkarini College of Engineering and Technology, Jabalpur, India

Vandana Roy, PhD, is Associate Professor in the Electronics Communication Department at Gyan Ganga College of Technology and Sciences (GGITS), Jabalpur, India, where she is the in-charge of the artificial intelligent lab and coordinator of Huawei Mobile Services (HMS). She has five years of industrial experience and 15 years of teaching and research experience. Her research interests are communication, image processing, biomedical signal processing, machine learning, and wireless network. She has published research papers in international and national journals and conferences. Dr. Roy is a reviewer for several journals in her field, including those of IEEE, Springer, and IGI Global International. She is also a journal editorial board member as well. She was awarded her doctorate degree in biomedical signal processing in 2018 from RGPV, Bhopal, India.

Piyush Kumar Shukla, PhD
Associate Professor, Department of Computer Science and Engineering, University Institute of Technology-Rajiv Gandhi Proudyogiki Vishwavidyalaya, (Technological University of Madhya Pradesh), India

Piyush Kumar Shukla, PhD, is Associate Professor of Computer Science and Engineering at the University Institute of Technology-Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, India. He has published more than 100 research papers and book chapters at the national and international level. He has edited several books and is an active reviewer and editorial member for various journals, including IEEE Transactions. Dr. Shukla has delivered talks and has chaired sessions at conferences. He is the principal investigation on the project “Precision Agriculture: Smart Farming with IoT and Drone for Increasing Productivity of Crops in India,” funded by TEQIP-III. He has supervised many PhD and postgraduate dissertations to date. His research interests include machine learning, security, medical image processing, blockchain, IoT, and advanced wireless networks.

Anoop Kumar Chaturvedi, PhD
Associate Professor, Department of Computer Science and Engineering, Lakshmi Narain College of Technology, Bhopal, India

Anoop Kumar Chaturvedi, PhD, Associate Professor in the Department of Computer Science and Engineering at Lakshmi Narain College of Technology, Bhobal, India. He has over 19 years of experience in teaching and research. His primary interests lie in data hiding, Internet of Things (IoT), cybersecurity and information theory, and coding and cryptography. He is the author of the book Unix and Shell Programming. He has published several patents, delivered expert/guest lectures, and attended seminars and workshops. Dr. Chaturvedi is a member of IEEE, ISTE, CEGR, and ICCI. Dr. Chaturvedi was awarded a gold medal in 2010 for securing first position in his MTech degree in CSE from RGPV, Bhopal.

Priti Maheshwary, PhD
Professor, Department of Computer Science and Engineering; Head, Centre for Excellence in Internet of Things and Advance Computing Lab, Rabindranath Tagore University, India

Priti Maheshwary, PhD, is Professor in the Department of Computer Science and Engineering and Head of the Centre for Excellence in Internet of Things and Advance Computing Lab at Rabindranath Tagore University (formerly known as AISECT University), India. She has been involved in Computer Science and Engineering in higher education and training for over 20 years. Her career has included various software development projects, teaching, research, and administrative roles. She has published over 50 research papers in refereed journals and conferences and book chapters. Dr. Maheshwary holds several patents. She has supervised several PhD theses in the field of the Internet of Things, smart cities, ubiquitous computing, wireless sensor network, the VANET, image processing specialized in satellite images, AI/ML and deep learning, and cybersecurity. She has completed more than 10 projects in the field of research and consultancy. Dr. Maheshwary is a member of many professional organizations in her field.




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