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Smart Health Technologies for the COVID-19 Pandemic
Internet of medical things perspectives
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Main description:

Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak.

The applications of Big Data and artificial intelligence in the fight against the spread of COVID-19 are explored in this edited book, as well as advances in early diagnostic testing and remote monitoring systems, and blockchain-based solutions for secure data handling. The implementation of machine learning for reviewing and analysing biomedical data and assisting with drug design is also discussed.

Emphasising the vital role that intelligent advanced healthcare informatics has played during this crucial time, this book is a valuable resource for researchers in the fields of biomedical engineering, bioengineering, electronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.


Contents:

Chapter 1: Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemic
Chapter 2: Application of big data and computational intelligence in fighting COVID-19 epidemic
Chapter 3: Cloud-based IoMT for early COVID-19 diagnosis and monitoring
Chapter 4: Assessment analysis of COVID-19 on the global economics and trades
Chapter 5: Early diagnosis and remote monitoring using cloud-based IoMT for COVID-19
Chapter 6: Blockchain technology for secure COVID-19 pandemic data handling
Chapter 7: Social distancing technologies for COVID-19
Chapter 8: Social health protection in touristic destinations during COVID-19
Chapter 9: Analysis of Artificial Intelligence and Internet of Things in biomedical imaging and sequential data for COVID-19
Chapter 10: Review of medical imaging with machine learning and deep learning-based approaches for COVID-19
Chapter 11: Machine-based drug design to inhibit SARS-CoV-2 virus
Chapter 12: Stress detection for cognitive rehabilitation in COVID-19 scenario
Chapter 13: Arduino-based robot for purification of COVID-19 using far UVC light
Chapter 14: Effect of COVID-19 pandemic on waste management system and infection control
Chapter 15: Natural adjunctive therapies options other than COVID-19 antiviral therapies
Chapter 16: Risk assessment and spread of COVID-19


PRODUCT DETAILS

ISBN-13: 9781839535185
Publisher: Institution of Engineering and Technology
Publication date: August, 2022
Pages: 350
Weight: 652g
Availability: Available
Subcategories: General Issues

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