Body sensor networking, design, and algorithms

Body sensor networking, design, and algorithms / Saeid Sanei, Delaram Jarchi, Anthony G. Constantinides.

"The book aims at providing a complete reading material for clinicians, engineers, mobile communication system developers, and researchers in the related fields and familiarizing them with the state of the art in theoretical and manufacturing developments of body sensors and e-health, the measu...

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Bibliographic Details
Main Authors: Sanei, Saeid (Author), Jarchi, Delaram, 1983- (Author), Constantinides, A. G. (Author)
Format: eBook
Language:English
Published: Hoboken, NJ, USA : Wiley, 2020.
Edition:First edition.
Subjects:
Body area networks (Electronics)
TECHNOLOGY & ENGINEERING / Signals & Signal Processing.
Online Access:Click for online access
Table of Contents:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Preface
  • About the Companion Website
  • Chapter 1 Introduction
  • 1.1 History of Wearable Technology
  • 1.2 Introduction to BSN Technology
  • 1.3 BSN Architecture
  • 1.4 Layout of the Book
  • References
  • Chapter 2 Physical, Physiological, Biological, and Behavioural States of the Human Body
  • 2.1 Introduction
  • 2.2 Physical State of the Human Body
  • 2.3 Physiological State of Human Body
  • 2.4 Biological State of Human Body
  • 2.5 Psychological and Behavioural State of the Human Body
  • 2.6 Summary and Conclusions
  • References
  • Chapter 3 Physical, Physiological, and Biological Measurements
  • 3.1 Introduction
  • 3.2 Wearable Technology for Gait Monitoring
  • 3.2.1 Accelerometer and Its Application to Gait Monitoring
  • 3.2.1.1 How Accelerometers Operate
  • 3.2.1.2 Accelerometers in Practice
  • 3.2.2 Gyroscope and IMU
  • 3.2.3 Force Plates
  • 3.2.4 Goniometer
  • 3.2.5 Electromyography
  • 3.2.6 Sensing Fabric
  • 3.3 Physiological Sensors
  • 3.3.1 Multichannel Measurement of the Nerves Electric Potentials
  • 3.3.2 Other Sensors
  • 3.4 Biological Sensors
  • 3.4.1 The Structures of Biological Sensors - The Principles
  • 3.4.2 Emerging Biosensor Technologies
  • 3.5 Conclusions
  • References
  • Chapter 4 Ambulatory and Popular Sensor Measurements
  • 4.1 Introduction
  • 4.2 Heart Rate
  • 4.2.1 HR During Physical Exercise
  • 4.3 Respiration
  • 4.4 Blood Oxygen Saturation Level
  • 4.5 Blood Pressure
  • 4.5.1 Cuffless Blood Pressure Measurement
  • 4.6 Blood Glucose
  • 4.7 Body Temperature
  • 4.8 Commercial Sensors
  • 4.9 Conclusions
  • References
  • Chapter 5 Polysomnography and Sleep Analysis
  • 5.1 Introduction
  • 5.2 Polysomnography
  • 5.3 Sleep Stage Classification
  • 5.3.1 Sleep Stages
  • 5.3.2 EEG-Based Classification of Sleep Stages
  • 5.3.2.1 Time Domain Features
  • 5.3.2.2 Frequency Domain Features
  • 5.3.2.3 Time-frequency Domain Features
  • 5.3.2.4 Short-time Fourier Transform
  • 5.3.2.5 Wavelet Transform
  • 5.3.2.6 Matching Pursuit
  • 5.3.2.7 Empirical Mode Decomposition
  • 5.3.2.8 Nonlinear Features
  • 5.3.3 Classification Techniques
  • 5.3.3.1 Using Neural Networks
  • 5.3.3.2 Application of CNNs
  • 5.3.4 Sleep Stage Scoring Using CNN
  • 5.4 Monitoring Movements and Body Position During Sleep
  • 5.5 Conclusions
  • References
  • Chapter 6 Noninvasive, Intrusive, and Nonintrusive Measurements
  • 6.1 Introduction
  • 6.2 Noninvasive Monitoring
  • 6.3 Contactless Monitoring
  • 6.3.1 Remote Photoplethysmography
  • 6.3.1.1 Derivation of Remote PPG
  • 6.3.2 Spectral Analysis Using Autoregressive Modelling
  • 6.3.3 Estimation of Physiological Parameters Using Remote PPG
  • 6.3.3.1 Heart Rate Estimation
  • 6.3.3.2 Respiratory Rate Estimation
  • 6.3.3.3 Blood Oxygen Saturation Level Estimation
  • 6.3.3.4 Pulse Transmit Time Estimation
  • 6.3.3.5 Video Pre-processing
  • 6.3.3.6 Selection of Regions of Interest

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