0%

A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms

In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to advances in the industry, the text looks at cooperative networks, noninvasive and implantable sensor microelectronics, wireless sensor networks, platforms, and optimization—to name a few.

Each chapter provides essential information needed to understand the current landscape of technology and mechanical developments. It covers subjects including Physiological Sensors, Sleep Stage Classification, Contactless Monitoring, and much more.

Among the many topics covered, the text also includes additions such as:

●      Over 120 figures, charts, and tables to assist with the understanding of complex topics

●      Design examples and detailed experimental works

●      A companion website featuring MATLAB and selected data sets 

Additionally, readers will learn about wearable and implantable devices, invasive and noninvasive monitoring, biocompatibility, and the tools and platforms for long-term, low-power deployment of wireless communications. It’s an essential resource for understanding the applications and practical implementation of BSN when it comes to elderly care, how to manage patients with chronic illnesses and diseases, and use cases for rehabilitation.

Table of Contents

  1. Cover
  2. Preface
  3. About the Companion Website
  4. 1 Introduction
    1. 1.1 History of Wearable Technology
    2. 1.2 Introduction to BSN Technology
    3. 1.3 BSN Architecture
    4. 1.4 Layout of the Book
    5. References
  5. 2 Physical, Physiological, Biological, and Behavioural States of the Human Body
    1. 2.1 Introduction
    2. 2.2 Physical State of the Human Body
    3. 2.3 Physiological State of Human Body
    4. 2.4 Biological State of Human Body
    5. 2.5 Psychological and Behavioural State of the Human Body
    6. 2.6 Summary and Conclusions
    7. References
  6. 3 Physical, Physiological, and Biological Measurements
    1. 3.1 Introduction
    2. 3.2 Wearable Technology for Gait Monitoring
    3. 3.3 Physiological Sensors
    4. 3.4 Biological Sensors
    5. 3.5 Conclusions
    6. References
  7. 4 Ambulatory and Popular Sensor Measurements
    1. 4.1 Introduction
    2. 4.2 Heart Rate
    3. 4.3 Respiration
    4. 4.4 Blood Oxygen Saturation Level
    5. 4.5 Blood Pressure
    6. 4.6 Blood Glucose
    7. 4.7 Body Temperature
    8. 4.8 Commercial Sensors
    9. 4.9 Conclusions
    10. References
  8. 5 Polysomnography and Sleep Analysis
    1. 5.1 Introduction
    2. 5.2 Polysomnography
    3. 5.3 Sleep Stage Classification
    4. 5.4 Monitoring Movements and Body Position During Sleep
    5. 5.5 Conclusions
    6. References
  9. 6 Noninvasive, Intrusive, and Nonintrusive Measurements
    1. 6.1 Introduction
    2. 6.2 Noninvasive Monitoring
    3. 6.3 Contactless Monitoring
    4. 6.4 Implantable Sensor Systems
    5. 6.5 Conclusions
    6. References
  10. 7 Single and Multiple Sensor Networking for Gait Analysis
    1. 7.1 Introduction
    2. 7.2 Gait Events and Parameters
    3. 7.3 Standard Gait Measurement Systems
    4. 7.4 Wearable Sensors for Gait Analysis
    5. 7.5 Gait Analysis Algorithms Based on Accelerometer/Gyroscope
    6. 7.6 Conclusions
    7. References
  11. 8 Popular Health Monitoring Systems
    1. 8.1 Introduction
    2. 8.2 Technology for Data Acquisition
    3. 8.3 Physiological Health Monitoring Technologies
    4. 8.4 Conclusions
    5. References
  12. 9 Machine Learning for Sensor Networks
    1. 9.1 Introduction
    2. 9.2 Clustering Approaches
    3. 9.3 Classification Algorithms
    4. 9.4 Common Spatial Patterns
    5. 9.5 Applications of Machine Learning in BSNs and WSNs
    6. 9.6 Conclusions
    7. References
  13. 10 Signal Processing for Sensor Networks
    1. 10.1 Introduction
    2. 10.2 Signal Processing Problems for Sensor Networks
    3. 10.3 Fundamental Concepts in Signal Processing
    4. 10.4 Mathematical Data Models
    5. 10.5 Transform Domain Signal Analysis
    6. 10.6 Time-frequency Domain Transforms
    7. 10.7 Adaptive Filtering
    8. 10.8 Cooperative Adaptive Filtering
    9. 10.9 Multichannel Signal Processing
    10. 10.10 Signal Processing Platforms for BANs
    11. 10.11 Conclusions
    12. References
  14. 11 Communication Systems for Body Area Networks
    1. 11.1 Introduction
    2. 11.2 Short-range Communication Systems
    3. 11.3 Limitations, Interferences, Noise, and Artefacts
    4. 11.4 Channel Modelling
    5. 11.5 BAN-WSN Communications
    6. 11.6 Routing in WBAN
    7. 11.7 BAN-building Network Integration
    8. 11.8 Cooperative BANs
    9. 11.9 BAN Security
    10. 11.10 Conclusions
    11. References
  15. 12 Energy Harvesting Enabled Body Sensor Networks
    1. 12.1 Introduction
    2. 12.2 Energy Conservation
    3. 12.3 Network Capacity
    4. 12.4 Energy Harvesting
    5. 12.5 Challenges in Energy Harvesting
    6. 12.6 Types of Energy Harvesting
    7. 12.7 Topology Control
    8. 12.8 Typical Energy Harvesters for BSNs
    9. 12.9 Predicting Availability of Energy
    10. 12.10 Reliability of Energy Storage
    11. 12.11 Conclusions
    12. References
  16. 13 Quality of Service, Security, and Privacy for Wearable Sensor Data
    1. 13.1 Introduction
    2. 13.2 Threats to a BAN
    3. 13.3 Data Security and Most Common Encryption Methods
    4. 13.4 Quality of Service (QoS)
    5. 13.5 System Security
    6. 13.6 Privacy
    7. 13.7 Conclusions
    8. References
  17. 14 Existing Projects and Platforms
    1. 14.1 Introduction
    2. 14.2 Existing Wearable Devices
    3. 14.3 BAN Programming Framework
    4. 14.4 Commercial Sensor Node Hardware Platforms
    5. 14.5 BAN Software Platforms
    6. 14.6 Popular BAN Application Domains
    7. 14.7 Conclusions
    8. References
  18. 15 Conclusions and Suggestions for Future Research
    1. 15.1 Summary
    2. 15.2 Future Directions in BSN Research
    3. 15.3 Conclusions
    4. References
  19. Index
  20. End User License Agreement
18.209.69.180