Healthcare Systems and Health Informatics
Using Internet of Things
- Available for pre-order. Item will ship after February 21, 2022
This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in AI and smart computing in resource-constrained IoT-based applications along with cost, energy efficiency, and the availability of quality service.
Healthcare Systems and Health Informatics: Using the Internet of Things explores the role of Artificial Intelligence and Smart Computing in health informatics and healthcare with an emphasis on clinical data management and analysis for precise prediction and prompt action. It presents cutting-edge tracking, monitoring, real-time assistance, and security for IoT in healthcare and discusses broadly wearable sensors and IoT devices and their role in smart living assistance. The book goes onto describing a system model and architecture for a clear picture of energy conservation-based IoT in healthcare and explains the challenges and opportunities with IoT-based healthcare industries. A study of the threats and impacts along with the need for information security is also included.
Chapters written by experts in the field, this book provides a comprehensive description of the important aspects of IoT and Health from a beginner to advance level perspective and is ideal for researchers, academicians, students, persons in industry, technologists, and entrepreneurs.
Table of Contents
Unit 1: Introduction to IoT Based Healthcare Devices. 1. Internet of Things: The Need, Energy Conservations, and Benefits. 2. Wireless Sensor Network and Internet of Things: Synergy and Barriers. 3. Wearable Devices and IoT: Applications and Constraints. 4. Energy Conservation in IoT-Based Smart Hospital Management Systems. 5. System Architecture for IoT Devices and their Applications in Healthcare. Unit 2: Energy Conservation Based IoT Systems for Healthcare Sector: AI and Smart Computing. 6. Artificial Intelligence and Smart Computing in IoT Based Healthcare: An Overview. 7. Data Analytics and Mining in IoT Based Healthcare Support System. 8. Edge/ Fog Computing in IoT Based Healthcare Support System. 9. Machine Learning and Deep Learning in IoT Based Healthcare Support system. Unit 3: Energy Conservation Based IoT Systems for Healthcare Industries: Opportunities and Challenges. 10. 6G Networks, Internet of Things and Healthcare: Prospective and Potential. 11. Uninterrupted Health Monitoring Using IoT Based Wearable Devices. 12. Smart Hospitals and Pathological Labs with IoT Devices. 13. Transparent Insurance Claims Made Easy Using IoT Based Healthcare Devices. 14. IoT Based Mobile Healthcare System. Unit 4: Security and Privacy in Energy Conservation Based IoT Healthcare. 15.Threats and its Impact on IoT Based Healthcare. 16. Necessity of Information Security and Privacy in IoT Based Healthcare. 17. Information Security: Patient Awareness and Healthcare Responsibility. 18. Protecting Digital Information of Patients in IoT Based Healthcare.
Pawan Singh Mehra is currently working as Assistant Professor in Delhi Technological University, New Delhi, India. He received his Ph.D. degree in Computer Engineering from Jamia Millia Islamia and M.Tech(Hons). degree in Computer Science and Engineering from Center for Development of Advanced Computing (CDAC). He completed Bachelor of Engineering from RJIT, Gwalior. He has approx. 10 years of Teaching and Research Experience. He has authored more than 15 publications in International conferences and journals indexed in SCI, Scopus, ESCI, Web of Science. His research interests include Wireless Sensor Network, Internet of Things, Image processing, Cryptography and Network security & Block chain.
Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi in Computer Engineering, M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi and B.Tech (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 16 years of teaching experience in the area of Theory of Computation, Parallel and Random algorithms, Distributed Data Mining & Cloud Computing. He has completed a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed & Scopus indexed journals, and Conferences. Two patents filed by him are also now published online. He is reviewer of many reputed journals & conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose Univ. of Sc. & Tech. YMCA Faridabad in the department of Computer Engineering.
Arvind Dagur has approx. 15 years of experience in teaching and research in various reputed engineering colleges such as AKGEC, Ghaziabad and Galgotias College of Engineering and Technology, Gr. Noida. He completed his Ph.D. (Computer Engineering) from Jamia Millia Islamia, New Delhi, M.Tech. CSE from MNNIT Allahabad and B.Tech. CSE from UPTU Lucknow. His area of research is Fault Tolerance, Real time System, Energy harvesting and minimization, Cloud computing, IoT etc.
Anshu Kumar Dwivedi received the B.Tech Degree in Computer Science & Engineering from Uttar Pradesh Technical University Lucknow, India, in 2007 and M.Tech (HONS) degree in Computer Engineering from YMCA University of Science & Technology, Faridabad, India, in 2012. Currently, he is a research Scholar in Department of computer science & Engineering at Madan Mohan Malaviya University of Technology, Gorakhpur (India). His current research interests are Wireless Sensor Network, Ad-Hoc Network, Internet of Things, and Theory of computation. He has served on various IEEE conferences as a technical program committee member.