Telemedicine Technologies

Book description

Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system.

  • Illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system
  • Focuses on showcasing prototypes of remote healthcare systems

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. Chapter 1. Mobile Application for Medical Diagnosis
    1. 1. Introduction
    2. 2. Description of the Application
    3. 3. Usage of the Application
    4. 4. Conclusions
  7. Chapter 2. Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment
    1. 1. Introduction
    2. 2. Technical Challenges in Telemedicine
    3. 3. Emerging Paradigms in Transform Based Coding
    4. 4. Spiht Encoder
    5. 5. Experiments and Discussions
    6. 6. Conclusions
  8. Chapter 3. Adopting m-Health in Clinical Practice: A Boon or a Bane?
    1. 1. Introduction
    2. 2. History and Evolution of Healthcare Communications
    3. 3. m-Health: Definition, Concepts and Milestones
    4. 4. m-Health Functionalities and Properties
    5. 5. Contexts of m-Health Application in Clinical Practice
    6. 6. m-Health Benefits in Clinical Practice
    7. 7. Implications
    8. 8. Future Direction
    9. 9. Conclusions
  9. Chapter 4. Investigation of Telecardiology System to Detect Cardiac Abnormalities
    1. 1. Theoretical Background
    2. 2. Overview of Cardiac Disease
    3. 3. Methodology
    4. 4. Telecommunications
    5. 5. Wi-Fi
    6. 6. Bluetooth
    7. 7. Wearable Device For ECG Monitoring
    8. 8. Results and Discussion
    9. 9. Simulation of the Proposed Idea
    10. 10. Conclusion
    11. 11. Future Scope
  10. Chapter 5. Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Shape and Steerable Gaussian Features
    1. 1. Introduction
    2. 2. Diabetic Retinopathy
    3. 3. Literature Survey
    4. 4. Proposed Methodology
    5. 5. Results and Discussions
    6. 6. Conclusion
  11. Chapter 6. Telemetry System for Early Detection of Hyperbilirubinemia in Neonates
    1. 1. Introduction
    2. 2. Existing Method and Technologies
    3. 3. Computational Image Processing Techniques
    4. 4. Introduction to Mobile Communication
    5. 5. Hyperbilirubinemia Image Transmission System
    6. 6. Mobile Communication Security
    7. 7. Conclusion
  12. Chapter 7. WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols
    1. 1. Introduction
    2. 2. Telemedicine and Remote Health Monitoring
    3. 3. WBAN and Remote Health Monitoring
    4. 4. WBAN Communication Architecture
    5. 5. WBAN MAC Layer
    6. 6. Wireless Technologies for Remote Health Monitoring
    7. 7. Conclusion
  13. Chapter 8. Remote Monitoring of Children With Chronic Illness Using Wearable Vest
    1. 1. Introduction
    2. 2. Related Works
    3. 3. Proposed System
    4. 4. Experiments
    5. 5. Child Monitoring Using Mobile App Display
    6. 6. Conclusion
  14. Chapter 9. A Predictive Model for Hypertension Diagnosis Using Machine Learning Techniques
    1. 1. Introduction
    2. 2. Knowledge Discovery and Intelligent Techniques for Hypertension
    3. 3. Predictivemodel for Hypertension
    4. 4. Evaluation
    5. 5. User Acceptance
    6. 6. Conclusion
  15. Chapter 10. From Telediagnosis to Teletreatment: The Role of Computational Biology and Bioinformatics in Tele-Based Healthcare
    1. 1. Introduction
    2. 2. Bioinformatics, Telegenomics, Telegenetics and Telemedicine
    3. 3. Categories of Tele-Based Services
    4. 4. Barriers, Ethical Issues and Authorization
    5. 5. Enabling Bioinformatics and Computational Techniques to Improvise Telehealth
    6. 6. Present Opportunities and Future Prospects
    7. 7. Conclusion, Discussion and Future Directions
  16. Chapter 11. m-Health in Public Health Practice: A Constellation of Current Evidence
    1. 1. Introduction
    2. 2. m-Health Benefits in Public Health Practice
    3. 3. Conclusion
  17. Chapter 12. The Egyptian-African Telemedicine Network: The Treat and Teach Comprehensive Model
    1. 1. Introduction
    2. 2. The Team
    3. 3. Concept and Action Plan
    4. 4. Swot Analysis
    5. 5. The Kick Off
    6. 6. Success Dynamics
    7. 7. Partnerships and Collaborations
    8. 8. Services
    9. 9. Conclusion
  18. Chapter 13. An Extended Views Based Big Data Model Toward Facilitating Electronic Health Record Analytics
    1. 1. Introduction and Background
    2. 2. Sematic Views in Context of Proposed Work
    3. 3. Big Data Mining With Extended Semantic Views
    4. 4. Proposed Solution to Facilitating Electronic Health Record Processing
  19. Chapter 14. Security and Privacy in Remote Healthcare: Issues, Solutions, and Standards
    1. 1. Introduction
    2. 2. Remote Healthcare
    3. 3. Security & Privacy in Remote Healthcare
    4. 4. Conclusion
  20. Chapter 15. Virtual Clinic: A CDSS Assisted Telemedicine Framework
    1. 1. Introduction
    2. 2. System Model
    3. 3. Research Methodology
    4. 4. Results and Discussion
    5. 5. Conclusion
  21. Index

Product information

  • Title: Telemedicine Technologies
  • Author(s): D. Jude Hemanth, Valentina Emilia Balas
  • Release date: May 2019
  • Publisher(s): Academic Press
  • ISBN: 9780128169490