Cover image for Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering

Author Raghvendra Kumar , Manju Khari , Sudan Jha , Le Hoang Son , Valentina Emilia Balas
Release Date: 2019/06/01
ISBN: 9780128173572
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Book Description

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.

This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.

  • Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications
  • Discusses big data and data mining in healthcare and other IoT based biomedical data analysis
  • Includes discussions on a variety of IoT applications and medical information systems
  • Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. About the editors
  6. About the contributors
  7. Preface
  8. About the book
    1. Key features
  9. Chapter 1: CLOUDFALL 1.0: A Smart, Low-Cost, IoT-Based Fall-Detection Sensor Node
    1. Abstract
    2. 1.1 Introduction
    3. 1.2 Related Studies
    4. 1.3 Methodology
    5. 1.4 Conclusion
  10. Chapter 2: Computer-Assisted Anthropology
    1. Abstract
    2. 2.1 Introduction
    3. 2.2 Computer Applications in Anthropology
    4. 2.3 Digital Ethnography
    5. 2.4 Virtual Anthropology
    6. 2.5 Conclusion
  11. Chapter 3: Modeling a Fuzzy System for Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine Combining Positive and Negative Rules
    1. Abstract
    2. 3.1 Introduction
    3. 3.2 Some Notions of Fuzzy Logic
    4. 3.3 A Diagnosis of Disease Syndromes of Traditional Vietnamese Medicine
    5. 3.4 An Inference Model of Diagnosis of Disease Syndromes in Traditional Oriental Medicine
    6. 3.5 An Example of Combining Positive and Negative Rules
    7. 3.6 Application of the Model for Developing a System of Eight Syndrome Diagnosis
    8. 3.7 Conclusions
    9. Appendix 3.1 Examples of Basic symptoms for Eight Syndromes
    10. Appendix 3.2 Basic Rules for Eight Syndrome Diagnosis
  12. Chapter 4: Image-Guided Surgery Through Internet of Things
    1. Abstract
    2. 4.1 Introduction
    3. 4.2 Literature Review
    4. 4.3 Evolution
    5. 4.4 Performance Evaluation of IGS
    6. 4.5 System Functionality and Components
    7. 4.6 Software
    8. 4.7 IGS Tracking tools
    9. 4.8 Imaging Modalities
    10. 4.9 Applications of IGS
    11. 4.10 IGS Navigation Systems
    12. 4.11 Merits and Demerits of IGS
    13. 4.12 Conclusion
  13. Chapter 5: IoT in Agriculture Investigation on Plant Diseases and Nutrient Level Using Image Analysis Techniques
    1. Abstract
    2. 5.1 Introduction to the Use of IoT in Agriculture
    3. 5.2 Background
    4. 5.3 Current Situation
    5. 5.4 Pioneer Works
    6. 5.5 Technology Advancements in Smart Farming
    7. 5.6 Future Directions
    8. 5.7 Conclusions
  14. Chapter 6: Internet of Things in Healthcare: A Brief Overview
    1. Abstract
    2. 6.1 Introduction
    3. 6.2 Brief History
    4. 6.3 Applications and Technologies
    5. 6.4 Real-Time Health Data Centers Monitoring Using Big Data Technology
    6. 6.5 Neuroergonomics
    7. 6.6 Cloud Computing
    8. 6.7 Value of Information
    9. 6.8 Recommendations and Benchmarks
    10. 6.9 Innovative IoT Applications in Healthcare
    11. 6.10 Internet of Health Things and Artificial Intelligence
    12. 6.11 Medical IoT in Use Today
    13. 6.12 Conclusion
  15. Chapter 7: Artificial Intelligence Based Diagnostics, Therapeutics and Applications in Biomedical Engineering and Bioinformatics
    1. Abstract
    2. 7.1 Introduction
    3. 7.2 Principal Disciplines of Artificial Intelligence and Computer Vision
    4. 7.3 Artificial Intelligence and Computer Vision: Biomedical Applications and Solutions
    5. 7.4 Conclusion
  16. Chapter 8: Why Big Data and What Is It? Basic to Advanced Big Data Journey for the Medical Industry
    1. Abstract
    2. 8.1 Introduction
    3. 8.2 Related Work
    4. 8.3 Big Data and Medical Big Data
    5. 8.4 Medical Big Data Analytics
    6. 8.5 Applications of Medical Big Data
    7. 8.6 Challenges for Medical Big Data
    8. 8.7 Conclusion
  17. Chapter 9: Internet of Things Application in Life Sciences
    1. Abstract
    2. 9.1 Introduction
    3. 9.2 Background/Related Work
    4. 9.3 Sensors Used in IoT
    5. 9.4 Applications in Life Sciences
    6. 9.5 Benefits of IoT in Life Sciences
    7. 9.6 Challenges of IoT in Life Sciences
    8. 9.7 Conclusion
  18. Chapter 10: Emerging Trends of IoT-Based Applications in Day-to-Day Life
    1. Abstract
    2. 10.1 Introduction
    3. 10.2 Internet of Things—A Buzzword for the New Technological Era
    4. 10.3 Components of IoT
    5. 10.4 Technologies Used in IoT-Based Applications
    6. 10.5 Several Applications and IoT
    7. 10.6 Promising IoT-Based Products or Projects in Healthcare or Biomedical Engineering Areas
    8. 10.7 Securing IoT-Based Biomedical Devices
    9. 10.8 Conclusions and Future Work
    10. 10.9 Appendix
  19. Chapter 11: Combining Predictive Analytics and Artificial Intelligence With Human Intelligence in IoT-Based Image-Guided Surgery
    1. Abstract
    2. 11.1 Introduction
    3. 11.2 Evolution in Medical Field and Surgical Procedures
    4. 11.3 Role of New-Age Technologies in Clinical Surgery
    5. 11.4 Proposed Model
    6. 11.5 Conclusion
  20. Chapter 12: Internet of Things Technologies
    1. Abstract
    2. 12.1 Introduction
    3. 12.2 IoMT System Architecture
    4. 12.3 Applications: Smart Healthcare and Wearables
    5. 12.4 IoT Healthcare Solutions
    6. 12.5 Some Other Use Cases of IoT in the Healthcare industry
    7. 12.6 Conclusion
  21. Chapter 13: Medical Big Data Mining and Processing in e-Healthcare
    1. Abstract
    2. 13.1 Introduction
    3. 13.2 Related Work
    4. 13.3 Big Data Sources
    5. 13.4 Big Data Mining and Processing
    6. 13.5 Proposed System
    7. 13.6 Results and Discussion
    8. 13.7 Conclusions and Future Work
  22. Index
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