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|a 1153273954
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|a UAMI
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|a Sanei, Saeid,
|e author.
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1 |
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|a Body sensor networking, design, and algorithms /
|c Saeid Sanei, Delaram Jarchi, Anthony G. Constantinides.
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250 |
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|a First edition.
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264 |
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1 |
|a Hoboken, NJ, USA :
|b Wiley,
|c 2020.
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264 |
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|c ©2020
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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520 |
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|a "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 measurements, processing, recognition, and decision making together with their implementation. It also provides the advances in sensor networking and cooperative networks, noninvasive and implantable sensor microelectronics, and the related topics on optimisation, energy minimisation and harvesting, as well as quality of service. The content of this book is proposed based on the market need and the demands of researchers in the related field. This is expected to follow the table of content provided at the end of this proposal. Clinical aspects, sensor development and technology, sensor networking, data processing and recognition, mobile networking, and data mining will be well covered and included in this book"--
|c Provided by publisher.
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588 |
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|a Description based on print version record; title from PDF title page, viewed (05/14/2020).
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0 |
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|a 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
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505 |
8 |
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|a 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
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|a 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
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505 |
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|a 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
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505 |
8 |
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|a 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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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Body area networks (Electronics)
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650 |
|
6 |
|a Réseaux corporels (Électronique)
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING / Signals & Signal Processing.
|2 bisacsh
|
650 |
|
7 |
|a Body area networks (Electronics)
|2 fast
|
700 |
1 |
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|a Jarchi, Delaram,
|d 1983-
|e author.
|
700 |
1 |
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|a Constantinides, A. G.,
|e author.
|
758 |
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|i has work:
|a Body sensor networking, design, and algorithms (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGGxFyRbYc6jfXT6k7MmwK
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
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|i Print version:
|a Sanei, Saeid.
|t Body sensor networking, design, and algorithms
|b First edition.
|d Hoboken, NJ, USA : Wiley, 2020.
|z 9781119390022
|w (DLC) 2019057875
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