Smart health technologies for the COVID-19 pandemic : Internet of medical things perspectives

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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Bibliographic Details
Other Authors: Chakraborty, Chinmay, 1984- (Editor), Rodrigues, Joel, 1972- (Editor)
Format: eBook
Language: English
Published: Stevenage : Institution of Engineering and Technology, 2022.
Series: Healthcare technologies series ; 42.
Subjects:
Medical telematics.
Internet of things > Health aspects.
Internet of things > Industrial applications.
Internet in medicine.
COVID-19 Pandemic, 2020- > Technological innovations.
elektronické knihy
electronic books
ISBN: 1839535199
9781839535192
9781839535185
1839535180
Physical Description: 1 online resource (xxii, 454 pages) : illustrations.

Cover

Table of contents

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020 |a 9781839535192  |q (electronic bk.) 
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020 |z 1839535180  |q (hardback) 
035 |a (OCoLC)1315647771 
100 1 |a Chakraborty, Chinmay,  |d 1984-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjF4WHPH3HWM77M6gmTXMP 
245 1 0 |a Smart health technologies for the COVID-19 pandemic :  |b Internet of medical things perspectives /  |c edited by Chinmay Chakraborty, Joel J.P.C. Rodrigues. 
264 1 |a Stevenage :  |b Institution of Engineering and Technology,  |c 2022. 
264 4 |c ©2022 
300 |a 1 online resource (xxii, 454 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Healthcare technologies series ;  |v 42 
504 |a Includes bibliographical references and an index. 
505 0 |a Intro -- Title -- Copyright -- Contents -- About the editors -- Preface -- 1 Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemic -- 1.1 Introduction -- 1.2 Internet of Things (IoT) and blockchain overview -- 1.2.1 Internet of Things -- 1.2.2 Blockchain -- 1.3 IoT technologies to confront COVID-19 -- 1.3.1 Health monitoring systems -- 1.3.2 Tracking and detecting possible patients -- 1.3.3 Disinfecting area -- 1.3.4 Telemedicine -- 1.3.5 Logistics delivery -- 1.4 Blockchain technologies to confront COVID-19 -- 1.4.1 Contact tracing -- 1.4.2 Database security 
505 8 |a 1.4.3 Information sharing -- 1.4.4 Prevention of data fabrication -- 1.4.5 Internet of Medical Things -- 1.5 Challenges, solutions, and deliverables -- 1.5.1 Challenges of IoT and blockchain technology -- 1.5.2 Possible solutions and deliverables -- 1.6 Key findings and discussion -- 1.7 Conclusion and future scopes -- References -- 2 Application of big data and computational intelligence in fighting COVID-19 epidemic -- 2.1 Introduction -- 2.2 Applicability of computational intelligence in combating COVID-19 pandemic -- 2.3 Big data and analytics in battling COVID-19 outbreak 
505 8 |a 2.4 The limitations of using big data and computational intelligence to fight the COVID-19 pandemic -- 2.5 The practical case of using computational intelligence in fighting COVID-19 pandemic -- 2.5.1 Confusion matrix -- 2.5.2 ROC curves -- 2.5.3 Precision-recall curve -- 2.6 Conclusion -- References -- 3 Cloud-based IoMT for early COVID-19 diagnosis and monitoring -- 3.1 Introduction -- 3.2 Overview about COVID-19 treatments -- 3.2.1 Symptoms -- 3.2.2 Methodologies in COVID-19 diagnosis -- 3.2.3 Treatment approaches -- 3.2.4 Available vaccine -- 3.2.5 COVID-19 timeline -- 3.3 Related work 
505 8 |a 3.3.1 Lightweight block encryption__amp__#8211 -- based secure health monitoring system for data management -- 3.3.2 Smart diagnostic/therapeutic framework for COVID-19 patients -- 3.3.3 IoT-based framework for collecting real-time symptom data using machine learning algorithms -- 3.4 Proposed methodology -- 3.4.1 Architecture of proposed IoT framework -- 3.4.2 Data acquisition using wearables devices -- 3.5 Implementation of proposed framework -- 3.6 Results and discussion -- 3.7 Conclusion and future scopes -- References -- 4 Assessment analysis of COVID-19 on the global economics and trades 
505 8 |a 4.1 Introduction -- 4.2 Backgrounds -- 4.3 Social impacts on finance -- 4.4 Framework for the international financial system, bionetworks, and maintainability on pandemic -- 4.4.1 Assessment strategy constructions to fight COVID-19 -- 4.4.2 Macro-finance impacts -- 4.4.3 Econometric effects: consumer preferences -- 4.4.4 Nonpositive impacts of COVID-19 -- 4.4.5 Impact of international commercial trading -- 4.4.6 COVID-19__amp__#8217 -- s effect on the aviation industry -- 4.4.7 Significant collision on the travel sector -- 4.4.8 Significant reduction in primary energy usage 
505 8 |a 4.4.9 Record decrease in CO2 emissions. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Medical telematics. 
650 0 |a Internet of things  |x Health aspects. 
650 0 |a Internet of things  |x Industrial applications. 
650 0 |a Internet in medicine. 
650 0 |a COVID-19 Pandemic, 2020-  |x Technological innovations. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Rodrigues, Joel,  |d 1972-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJmXM4p7R436BgH4dw9CcP 
776 0 8 |i Print version:  |a Chakraborty, Chinmay  |t Smart Health Technologies for the COVID-19 Pandemic  |d Stevenage : Institution of Engineering & Technology,c2022  |z 9781839535185 
830 0 |a Healthcare technologies series ;  |v 42. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpSHTCOVI4/smart-health-technologies?kpromoter=marc  |y Full text 

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