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.
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This edited book looks at the role technology has played to monitor, map and fight the COVID-19 global pandemic. The vital role that intelligent advanced healthcare informatics has played during this crucial time are explored, as well as e-healthcare, telemedicine, and life support systems.
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Chapter 1: Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemicChapter 2: Application of big data and computational intelligence in fighting COVID-19 epidemicChapter 3: Cloud-based IoMT for early COVID-19 diagnosis and monitoringChapter 4: Assessment analysis of COVID-19 on the global economics and tradesChapter 5: Early diagnosis and remote monitoring using cloud-based IoMT for COVID-19Chapter 6: Blockchain technology for secure COVID-19 pandemic data handlingChapter 7: Social distancing technologies for COVID-19Chapter 8: Social health protection in touristic destinations during COVID-19Chapter 9: Analysis of Artificial Intelligence and Internet of Things in biomedical imaging and sequential data for COVID-19Chapter 10: Review of medical imaging with machine learning and deep learning-based approaches for COVID-19Chapter 11: Machine-based drug design to inhibit SARS-CoV-2 virusChapter 12: Stress detection for cognitive rehabilitation in COVID-19 scenarioChapter 13: Arduino-based robot for purification of COVID-19 using far UVC lightChapter 14: Effect of COVID-19 pandemic on waste management system and infection controlChapter 15: Natural adjunctive therapies options other than COVID-19 antiviral therapiesChapter 16: Risk assessment and spread of COVID-19
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Produktdetaljer

ISBN
9781839535185
Publisert
2022-08-22
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
478

Om bidragsyterne

Chinmay Chakraborty has published more than 70 conference presentations, journal papers, book chapters and books. He has served on the Editorial Boards of more than ten journals, including Future Internet Journal (Wiley), Internet Technology Letters (Springer), and Advances in Smart Healthcare Technologies (CRC Press) and the organizing committees of numerous IEEE international conferences. Joel J.P.C. Rodrigues is an Highly Cited Researcher has published over 1,000 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and an editorial board member of several high-reputed journals. He has chaired many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has received several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society. He is a member of the Internet Society, a senior member ACM, and a Fellow of AAIA and IEEE.