Healthcare Systems and Health Informatics (eBook, PDF)

Using Internet of Things
Redaktion: Mehra, Pawan Singh; Dwivedi, Anshu Kumar; Dagur, Arvind; Goyal, Lalit Mohan

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 265
• Erscheinungstermin: 20. Februar 2022
• Englisch
• ISBN-13: 9781000541472
• Artikelnr.: 63204998

Autorenporträt

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.

Inhaltsangabe

Unit 1: Introduction to IoT-Based Healthcare Devices 1. Internet of Things:
A Smart Technology for Healthcare Industries 2. IoT Devices for Measuring
Pulse Rates and ECG Signals Unit 2: IoT-Based Systems for Healthcare
Sector: AI and Smart Computing 3. Machine Learning and Deep Learning in
IoT-Based Healthcare Support Systems 4. An IoT-Based Smart Environment for
Sustainable Healthcare Management Systems 5. Predictive Model for Brain
Tumour Detection Based on IoT MRI Scan 6. A Comparative Analysis of
Parametric and Non-Parametric Video Object Segmentation Methods for IoT and
Other Applications Areas 7. IoMT-Based Computational Approach for Semantic
Segmentation of Brain Tumour MRI Images Unit 3: IoT-Based Systems for
Healthcare Industries: Opportunities and Challenges 8. Internet of Medical
Things: Smart Healthcare Monitoring Systems and Their Potential
Implementations 9. How Artificial Intelligence and IoT Are Facing Covid-19:
An Overview 10. IoT-Based Healthcare Monitoring Practices during Covid-19:
Prospects and Approaches 11. Impact of IoT-Based Urban Agriculture on
Healthcare: Smart Farms for Homes 12. Identification of Heavy Drinking by
Using IoT Devices and Artificial Intelligence Unit 4: Security and Privacy
in IoT-Based Systems for Healthcare Sector 13. Cyber Security for Handling
Threats in Healthcare Devices 14. Security Challenges and Solutions for
Healthcare in the Internet of Things