Internet of Healthcare Things (IoHT) is an Internet of Things (IoT)-based solution that includes a network architecture which allows the connection between a patient and healthcare facilities. This book covers various research issues of smart and secure IoHT, aimed at providing solutions for remote healthcare monitoring using pertinent techniques. Applications of machine learning techniques and data analytics in IoHT, along with the latest communication and networking technologies and cloud computing, are also discussed.
Features:
- Provides a detailed introduction to IoHT and its applications
- Reviews underlying sensor and hardware technologies
- Includes recent advances in the IoHT, such as remote healthcare monitoring and wearable devices
- Explores applications of data analytics/data mining in IoHT, including data management and data governance
- Focuses on regulatory and compliance issues in IoHT
This book is intended for graduate students and researchers in Bioinformatics, Biomedical Engineering, Big Data and Analytics, Data Mining, and Information Management, IoT and Computer and Electrical Engineering.
This book cover various research issues of smart and secure IoHT, aimed at providing solutions for remote healthcare monitoring using pertinent techniques. Applications of machine learning techniques and data analytics in IoHT along with latest communication and networking technologies, and cloud computing are also discussed.
1. Healthcare Solutions using Wearable Devices
2. IoT based Disease Prediction
3. An Introduction to IoT based Posture Detection and Underlying Sensor Technology
4. Application of Machine Intelligence in IoT Enabled HealthCare Monitoring Systems: A Case Study Based Approach
5. Application of Machine Learning in IOHT
6. Medical IoT: Opportunities, Issues in Security and Privacy
7. Security Concerns and Forensic Aspects of IoHT
8. Recent Security Issues and Countermeasures on IOHT
9. Future Wireless Communication Systems to Enable IoMT Services and Applications
10. An Energy Efficient Data Routing and Aggregation Protocol for WBANs
11. Case Studies on Implementation of Smart Healthcare Across Global Smart Cities
Nitin Gupta is serving as an Assistant Professor with Department of Computer Science and Engineering, NIT Hamirpur (Under Government of India), Himachal Pradesh, India from 2007. His research interest includes IoT networks, Next Generation Wireless Networks, especially Cognitive Radio Networks. He has published various research papers in High-Impact reputed international journals like IEEE Transactions on Vehicular Technology, IEEE TNSE, IEEE Systems Journal etc. and conferences of repute like IEEE ICC, GLOBECOM and INFOCOM. He is an IEEE Senior Member, member of IEEE Communication Society and member of ACM as well. Jagdeep Singh is working as Assistant Professor in the Department of Computer Science & Engineering at SLIET, Longowal, Punjab. Currently he is pursuing Ph.D. from Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi. His research interests are in IoT, machine learning, artificial intelligence, opportunistic networks, cloud computing, machine to machine communications, next-generation wireless networks. He has published his research in various reputed journals of computer science such as IET Networks, International Journal of Communication System, Journal of Internet Technology and many more. Dr. Chinmay Chakraborty is working as an Assistant Professor (Sr.) in the Dept. of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, Wireless Body Area Network, Wireless Networks, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has published 70 papers at reputed international journals, conferences, book chapters, and books. He is an Editorial Board Member in the different Journals and Conferences. He is serving as a Guest Editor of many journals and Lead Boo Series Editor of CRC- Advances in Smart Healthcare Technologies. Mamoun Alazab is an Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Alazabs research is multidisciplinary that focuses on cyber security and digital forensics of computer systems with a focus on cybercrime detection and prevention. He has more than 150 research papers in many international journals and conferences, such as IEEE transactions on Industrial Informatics, IEEE Transactions on Industry Applications, IEEE Transactions on Big Data, IEEE Transactions on Vehicular Technology, Computers & Security, and Future Generation Computing Systems. Dinh-Thuan Do (Senior Member, IEEE) received the B.S., M. Eng., and Ph.D. degrees from Vietnam National University (VNU-HCMC), in 2003, 2007, and 2013, respectively, all in communications engineering. He was a supervisor for numerous Ph.D. students in the Ph.D. joint program managed by Ton Duc Thang University and Technical University of Ostrava (VSB), Czech Republic. Dr. Thuan was a recipient of Golden Globe Award from Vietnam Ministry of Science and Technology in 2015 (Top 10 most excellent scientist nationwide). He currently works as Assistant Professor in Department of Computer Science and Information Engineering, Asia University (Taiwan). His publications include over 85 SCIE-indexed journal articles, over 100 SCOPUS-indexed journal articles and international conference papers.
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