Networking Technologies in Smart Healthcare
Innovations and Analytical Approaches
- 380 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Networking Technologies in Smart Healthcare
Innovations and Analytical Approaches
About This Book
This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.
The book:
ā¢ Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.
ā¢ Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.
ā¢ Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.
ā¢ Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.
This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.
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Table of contents
- Cover Page
- Half Title page
- Series Page
- Title Page
- Copyright Page
- Contents
- About the book
- Preface
- About the editors
- Contributors
- Chapter 1 Smart healthcare in smart city using wireless body area network and 5G
- Chapter 2 Information theory-based fuzzy logic optimization of medical data analytics during the COVID-19 pandemic
- Chapter 3 Internet of things implementation and challenges during COVID-19 in healthcare industries
- Chapter 4 Internet of medical things: Reduced energy consumption and data storage
- Chapter 5 Communication and detection of sanitation solutions during epidemics
- Chapter 6 Security and privacy on the internet of medical things: Challenges and issues
- Chapter 7 Impact of Industry 4.0 and Healthcare 4.0 for controlling the various challenges related to healthcare industries
- Chapter 8 A review on healthcare data privacy and security
- Chapter 9 Breast cancer detection using microwave imaging
- Chapter 10 IoT implementation and challenges in healthcare industries
- Chapter 11 Cloud-based artificial intelligence in healthcare systems
- Chapter 12 Nanomedicine in healthcare: Impact and challenges for future generation
- Chapter 13 IoT for healthcare system: Challenges and opportunities
- Chapter 14 Automatic heart-rate measurement using facial video
- Chapter 15 An intelligent model for coronary heart disease diagnosis
- Chapter 16 Wireless networks and communication-based optimization algorithms for smart healthcare devices
- Chapter 17 An IoT approach of managing smart healthcare services
- Index