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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chakraborty, Chinmay, 1984- (Editor ), Rodrigues, Joel, 1972- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Stevenage : Institution of Engineering and Technology, 2022.
Colección:Healthcare technologies series ; 42.
Temas:
Since 2020
Medical telematics.
Internet of things > Health aspects.
Internet of things > Industrial applications.
Internet in medicine.
COVID-19 Pandemic, 2020- > Technological innovations.
Technological innovations.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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
  • 4.4.9 Record decrease in CO2 emissions.

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