The Internet of Medical Things (IoMT)

The Internet of Medical Things (IoMT)

by R. J. Hemalatha, D. Akila, D. Balaganesh, Anand Paul
Released March 2022
Publisher(s): Wiley-Scrivener
ISBN: 9781119768838

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Book description

INTERNET OF MEDICAL THINGS (IOMT)

Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.

With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care.

In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart.

This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. 1 In Silico Molecular Modeling and Docking Analysis in Lung Cancer Cell Proteins
    1. 1.1 Introduction
    2. 1.2 Methodology
    3. 1.3 Results and Discussion
    4. 1.4 Conclusion
    5. References
  6. 2 Medical Data Classification in Cloud Computing Using Soft Computing With Voting Classifier: A Review
    1. 2.1 Introduction
    2. 2.2 Access Control–Based Security
    3. 2.3 System Model
    4. 2.4 Data Classification
    5. 2.5 Related Work
    6. 2.6 Conclusion
    7. References
  7. 3 Research Challenges in Pre-Copy Virtual Machine Migration in Cloud Environment
    1. 3.1 Introduction
    2. 3.2 Existing Technology and Its Review
    3. 3.3 Research Design
    4. 3.4 Results
    5. 3.5 Discussion
    6. 3.6 Conclusion
    7. References
  8. 4 Estimation and Analysis of Prediction Rate of Pre-Trained Deep Learning Network in Classification of Brain Tumor MRI Images
    1. 4.1 Introduction
    2. 4.2 Classes of Brain Tumors
    3. 4.3 Literature Survey
    4. 4.4 Methodology
    5. 4.5 Conclusion
    6. References
  9. 5 An Intelligent Healthcare Monitoring System for Coma Patients
    1. 5.1 Introduction
    2. 5.2 Related Works
    3. 5.3 Materials and Methods
    4. 5.4 Results and Discussion
    5. 5.5 Conclusion
    6. References
  10. 6 Deep Learning Interpretation of Biomedical Data
    1. 6.1 Introduction
    2. 6.2 Deep Learning Models
    3. 6.3 Interpretation of Deep Learning With Biomedical Data
    4. 6.4 Conclusion
    5. References
  11. 7 Evolution of Electronic Health Records
    1. 7.1 Introduction
    2. 7.2 Traditional Paper Method
    3. 7.3 IoMT
    4. 7.4 Telemedicine and IoMT
    5. 7.5 Cyber Security
    6. 7.6 Materials and Methods
    7. 7.7 Literature Review
    8. 7.8 Applications of Electronic Health Records
    9. 7.9 Results and Discussion
    10. 7.10 Challenges Ahead
    11. 7.11 Conclusion
    12. References
  12. 8 Architecture of IoMT in Healthcare
    1. 8.1 Introduction
    2. 8.2 Preferences of the Internet of Things
    3. 8.3 IoMT Progress in COVID-19 Situations: Presentation
    4. 8.4 Major Applications of IoMT
    5. References
  13. 9 Performance Assessment of IoMT Services and Protocols
    1. 9.1 Introduction
    2. 9.2 IoMT Architecture and Platform
    3. 9.3 Types of Protocols
    4. 9.4 Testing Process in IoMT
    5. 9.5 Issues and Challenges
    6. 9.6 Conclusion
    7. References
  14. 10 Performance Evaluation of Wearable IoT-Enabled Mesh Network for Rural Health Monitoring
    1. 10.1 Introduction
    2. 10.2 Proposed System Framework
    3. 10.3 Experimental Evaluation
    4. 10.4 Performance Evaluation
    5. 10.5 Conclusion
    6. References
  15. 11 Management of Diabetes Mellitus (DM) for Children and Adults Based on Internet of Things (IoT)
    1. 11.1 Introduction
    2. 11.2 Materials and Methods
    3. 11.3 Results and Discussion
    4. 11.4 Summary
    5. 11.5 Conclusion
    6. References
  16. 12 Wearable Health Monitoring Systems Using IoMT
    1. 12.1 Introduction
    2. 12.2 IoMT in Developing Wearable Health Surveillance System
    3. 12.3 Vital Parameters That Can Be Monitored Using Wearable Devices
    4. 12.4 Challenges Faced in Customizing Wearable Devices
    5. 12.5 Conclusion
    6. References
  17. 13 Future of Healthcare: Biomedical Big Data Analysis and IoMT
    1. 13.1 Introduction
    2. 13.2 Big Data and IoT in the Healthcare Industry
    3. 13.3 Biomedical Big Data Types
    4. 13.4 Biomedical Data Acquisition Using IoT
    5. 13.5 Biomedical Data Management Using IoT
    6. 13.6 Impact of Big Data and IoMT in Healthcare
    7. 13.7 Discussions and Conclusions
    8. References
  18. 14 Medical Data Security Using Blockchain With Soft Computing Techniques: A Review
    1. 14.1 Introduction
    2. 14.2 Blockchain
    3. 14.3 Blockchain as a Decentralized Security Framework
    4. 14.4 Existing Healthcare Data Predictive Analytics Using Soft Computing Techniques in Data Science
    5. 14.5 Literature Review: Medical Data Security in Cloud Storage
    6. 14.6 Conclusion
    7. References
  19. 15 Electronic Health Records: A Transitional View
    1. 15.1 Introduction
    2. 15.2 Ancient Medical Record, 1600 BC
    3. 15.3 Greek Medical Record
    4. 15.4 Islamic Medical Record
    5. 15.5 European Civilization
    6. 15.6 Swedish Health Record System
    7. 15.7 French and German Contributions
    8. 15.8 American Descriptions
    9. 15.9 Beginning of Electronic Health Recording
    10. 15.10 Conclusion
    11. References
  20. Index
  21. End User License Agreement

Product information

  • Title: The Internet of Medical Things (IoMT)
  • Author(s): R. J. Hemalatha, D. Akila, D. Balaganesh, Anand Paul
  • Release date: March 2022
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119768838