Оглавление
Группа авторов. IoT-enabled Smart Healthcare Systems, Services and Applications
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
IoT‐Enabled Smart Healthcare Systems, Services and Applications
Preface
Acknowledgments
About the Editors
List of Contributors
1 The Role of Emerging Technologies in Smart Healthcare
1.1 Introduction
1.2 Emerging Technologies in Smart Healthcare
1.2.1 Artificial Intelligence (AI) in Healthcare
1.2.2 Internet of Things (IoT) in Smart Healthcare
1.2.3 Blockchain in Smart Healthcare
1.2.4 3‐Dimensional (3D) in Smart Healthcare
1.2.5 Fifth Generation (5G) in Smart Healthcare
1.3 Realization of SHC through Emerging Technologies (Applications) 1.3.1 Applications of AI
1.3.1.1 Patient Care Improvement
1.3.1.2 Maintaining Health Records
1.3.2 Applications of IoT
1.3.2.1 Glucose Monitoring
1.3.2.2 Monitoring Heart Rate
1.3.2.3 Smart Inhalers
1.3.3 Application of Blockchain
1.3.3.1 Stability of Patients’ Data
1.3.3.2 Distant Patient Monitoring
1.3.3.3 Blockchain Prevents Costly Mistakes
1.3.4 Applications of 3D Printing
1.3.4.1 Hearing Aids
1.3.4.2 3D Printing in Rejuvenate Medicine and Fight with Covid‐19 Pandemic
1.4 Conclusion
Author Biography
References
2 ICN‐Fog Computing for IoT‐Based Healthcare:: Architecture and Challenges
2.1 Introduction
2.2 ICN in IoT
2.2.1 ICN Architecture
2.2.2 ICN Data Structures. 2.2.2.1 Content Store (CS)
2.2.2.2 Pending Interest Table (PIT)
2.2.2.3 Forwarding Information Base (FIB)
2.3 IoT in Healthcare
2.4 Role of Fog Computing in IoT
2.5 Fog Computing in Healthcare: A Classification Approach
2.5.1 Patient Data
2.5.1.1 Data Gathering
2.5.1.2 Data Examination
2.5.1.3 Fog Node Organization
2.5.1.4 Health Administrations
2.5.1.4.1 Health Gadgets
2.5.1.4.2 Applications
2.6 ICN‐Fog Leveraging Healthcare Architecture
2.6.1 Health Gadgets Layer
2.6.2 ICN‐Fog Computing Layer
2.6.3 Cloud Layer
2.6.3.1 Connection Layer
2.6.3.2 Data Management Layer
2.6.3.3 Application Layer
2.7 Challenges in the Healthcare System
2.7.1 Organization of Data
2.7.2 Usage of Health Gadgets
2.7.3 Privacy and Security
2.7.4 Scalability
2.8 Conclusion
References
3 Internet of Things (IoT) Enabled Software Defined Networking (SDN) for Load Balancing, Edge, Cloud Computing in Healthcare
3.1 Overview of Software‐Defined Networking
3.2 Overview of Healthcare
3.2.1 How Software‐Defined Networking (SDN) Is Benefitting Healthcare
3.3 Technologies Used in Software‐Defined Networking (SDN) and HealthCare
3.3.1 Internet of Things in Software‐Defined Networking
3.3.1.1 Internet of Things (IoT)–Enabled Software‐Defined Networking (SDN) in HealthCare
3.3.2 Edge Computing
3.3.2.1 e‐Healthcare Edge Computing in Software‐Defined Networking
3.3.3 Cloud Computing in Software‐Defined Networking
3.3.3.1 e‐Healthcare Software‐Defined Networking in Cloud Computing with Wireless Body Area Networks (WBANs)
3.3.3.2 Benefits of SDN with Cloud Computing in WBANs
3.3.4 Load Balancing in Software‐Defined Networking
3.3.4.1 e‐Healthcare Load Balancing in Software‐Defined Networking
3.4 Use Cases of Software‐Defined Networking in Healthcare
3.5 Research Directions
3.6 Conclusion
Key Points
Author Biography
References
4 Security and Privacy Issues in Smart Healthcare System Using Internet of Things
4.1 Introduction
4.2 Overview of Internet of Things in Smart Healthcare Systems
4.3 Policies and Legislation Related to Smart Healthcare
4.3.1 HIPAA in Privacy Rule
4.3.2 Federal Information Security Management Act (FISMA)
4.4 Security and Privacy Issues in Smart Healthcare Based on Internet of Things
4.4.1 Security Issues in Smart Healthcare IoT Applications
4.4.1.1 Security Issues Related to Physical Objects
4.4.1.2 Security Issues Related to Communication Technologies
4.4.1.3 Security Issues Related to Applications and Cloud
4.4.2 Privacy Issues in Smart Healthcare IoT Applications
4.5 Issues in Location Privacy
4.6 Issues in Privacy of Stored Data and Threats Identity
4.7 Conclusion
Author Biography
References
5 An Overview of Architecture and Applications of IoT‐Based Health Care Systems
5.1 Introduction
5.2 Overview of the Healthcare System
5.3 Working Prototype of Healthcare System Using BAN
5.3.1 Microcontroller (Raspberry Pi)
5.3.2 Adopting Wearables and IOT
5.3.3 Wearable Backend Servers
5.4 On‐Body Sensors and Sensor Embodiment
5.4.1 Smart Sensors
5.4.2 Gas Sensors
5.4.3 Bio‐Chemical Sensors
5.4.4 Wireless Data Collection
5.4.5 Wireless Routing Techniques
5.5 Vital Signs Monitoring. 5.5.1 Pulse Oxygenation
5.5.2 Blood Pressure
5.5.3 Respiration Rate
5.5.4 Heart Rate
5.5.5 Body Temperature
5.5.6 Blood Glucose
5.6 Biosensors in M‐Health
5.6.1 Bioresorbable Biosensors
5.6.2 Electrochemical Biosensors
5.6.3 Enzymatic Biosensors
5.6.4 FET Biosensors
5.6.5 Flexible and Wearable Biosensors
5.6.6 Metal Oxide Biosensors
5.6.7 Micro Fluidic Biosensors
5.6.8 Polymer Organic Biosensors
5.7 IoT‐Based Rehabilitation System
5.7.1 Automating Methodology in IOT Framework
5.7.2 Diagnosis Processing
5.7.3 Rehabilitation Strategy Design
5.7.4 Subsystem Design
5.7.5 Detail Design
5.7.6 Security in IoT
5.8 Future Work
5.9 Conclusion
Authors' Biography
References
6 A Review of e‐Healthcare System of India and Thailand
6.1 Introduction
6.2 Literature Review. 6.2.1 India
6.2.2 Thailand
6.3 Problem Statement
6.4 Methodology
6.5 Discussion. 6.5.1 Country Differences
6.5.2 Parameters Considered. 6.5.2.1 Rural Area
6.5.2.2 Technology
6.5.2.3 Cost‐Effectiveness
6.6 Conclusion
References
7 WSN‐ and IoT‐Based Smart Surveillance Systems for Patients with Closed‐Loop Alarm
7.1 Introduction
7.1.1 Working of IoT
7.1.2 Wireless Sensor Networks (WSNs)
7.1.2.1 Types of Different WSNs
7.1.2.1.1 Terrestrial WSNs
7.1.2.1.2 Underground WSNs
7.1.2.1.3 Underwater WSNs
7.1.2.1.4 Multimedia WSNs
7.1.2.1.5 Mobile WSNs
7.1.2.2 Constraints of Wireless Sensor Networks
7.1.2.3 Applications of Wireless Sensor Networks
7.1.3 WSNs as a Subset of IoT
7.1.4 Motivation and Organization of the Chapter
7.2 Literature Review
7.2.1 Literature Review: Toward the Application of IoT and WSNs
7.3 Proposed Work: WSN and IoT‐Based Smart Surveillance System for Patients with Closed‐Loop Alarm
7.3.1 Methodology
7.4 Implementation and Evaluation of the WSN and IoT‐Based Smart Surveillance System for Patients with Closed‐Loop Alarm. 7.4.1 Experimental Environment
7.4.1.1 Wi‐Fi Module
7.4.1.2 Sensors
7.4.1.3 Arduino IDE
7.4.1.4 ThingSpeak
7.4.2 Results and Discussion
7.4.2.1 SpO2
7.4.2.2 Pulse
7.4.2.3 Acceleration
7.4.2.4 Temperature
7.4.2.5 Combined
7.5 Conclusion and Future Work. 7.5.1 Conclusion
7.5.2 Future Work
References
8 An IoMT ‐Based Smart Remote Monitoring System for Healthcare
8.1 Introduction
8.2 Literature Review
8.3 Methodology. 8.3.1 IoT Device for Image Acquisition
8.3.1.1 Raspberry Pi
8.3.1.2 Sensor
8.3.1.3 Equipment
8.3.2 Central Repository
8.3.3 Automatic Computer Assisted Diagnosis (ACAD)
8.3.3.1 Preprocessing
8.3.3.2 Segmentation
8.3.3.2.1 Clustering
8.3.3.2.2 Region Growing
8.3.3.2.3 Threshold
8.3.3.2.4 Artificial Neural Network
8.3.3.3 Feature Extraction and Selection
8.3.3.3.1 Morphological Feature Extraction
8.3.3.3.2 Texture Based Feature Extraction
8.3.3.3.3 Intensity Based Feature Extraction
8.3.3.4 Classification Model
8.3.4 Recommender System
8.4 Use Case of Real‐Time Remote Monitoring System
8.4.1 Patient Remote Monitoring
8.4.2 Management and Scheduling
8.4.3 Cloud Information Exchange
8.4.4 Device Malfunctioning
8.5 Conclusion
References
9 A Multi‐Domain Perspective of Future Directions for VANETs for Emergency Message Dissemination
9.1 Introduction
9.2 Future Directions of Multi‐Domain VANETs Emergency Message Dissemination
9.2.1 Relationship of VANETs with IoT, Blockchain, and Fog Computing
9.3 Role of VANETs in Healthcare Systems
9.3.1 Case Study
9.4 Techniques Used for Fast Delivery of Emergency Message in VANETs to Help the Healthcare System
9.4.1 Role of Clustering in VANETs for Healthcare System
9.4.2 Role of Clustering in VANETs with IoT for Healthcare System
9.4.3 Role of Clustering in VANETs with Fog Computing for Healthcare System
9.4.4 Role of Clustering in VANETs with Blockchain for Healthcare System
9.4.5 Implications of Multi‐Domain Perspective of VANETs for Emergency Message Dissemination
9.5 Current Facilities and Limitations for Implementing the Real‐Time Environment
9.6 Discussion on Upcoming Trends and Possibilities with Future Readings
9.7 Conclusion
Author Biography
References
Notes
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