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Contactless vital signs monitoring /

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Otros Autores:	Wang, Wenjin, Wang, Xuyu
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	London : Academic Press, 2022.
Temas:	Vital signs > Measurement. Electromagnetic waves. Spectrum analysis. Radiation Ondes �electromagn�etiques. electromagnetic radiation. Electromagnetic waves Spectrum analysis Vital signs > Measurement
Acceso en línea:	Texto completo

Tabla de Contenidos:

Front Cover
Contactless Vital Signs Monitoring
Copyright
Contents
List of contributors
Foreword
Preface
1 Human physiology and contactless vital signs monitoring using camera and wireless signals
1.1 Contactless vital signs monitoring with cameras and wireless
1.2 Camera-based vital signs monitoring
1.3 Current techniques of camera-based vital signs monitoring
1.3.1 Camera-based pulse monitoring
1.3.2 Cardiac-related physiological signals using camera-based methods
1.3.2.1 Heart rate
1.3.2.2 Blood oxygen saturation
1.3.2.3 Blood pressure
1.3.3 Camera-based respiration monitoring
1.3.4 Camera-based body temperature monitoring
1.4 Applications of camera-based vital signs monitoring
1.4.1 Clinical applications
1.4.2 Free-living applications
1.5 Wireless-based vital signs monitoring
1.6 Current techniques of wireless-based vital signs monitoring
1.6.1 Radar-based vital signs monitoring
1.6.2 RSS-based vital signs monitoring
1.6.3 CSI-based vital signs monitoring
1.6.4 RFID-based vital signs monitoring
1.6.5 Acoustic-based vital signs monitoring
1.7 Conclusions
Acknowledgments
References
Part I Camera-based vital signs monitoring
2 Physiological origin of camera-based PPG imaging
2.1 Introduction
2.2 Conventional PPG model: blood volume modulation
2.3 How to explain the largest modulation of the green light?
2.4 Alternative PPG model: tissue compression modulation
2.5 Boundary conditions and influence of skin contact
2.6 Pulsatile dermis compression and modulation of IR light
2.7 Light modulation in a single capillary
2.8 Irregularity of RBC motion
2.9 Occlusion plethysmography
2.10 Peculiarities of light interaction with cerebral vessels
2.11 APC as a measure of the arterial tone.
2.12 Green-light camera-based PPG and cutaneous perfusion
2.13 Conclusive remarks
Acknowledgments
References
3 Model-based camera-PPG
3.1 Introduction
3.2 Model-based pulse rate extraction
3.3 Fitness application
3.3.1 Experimental setup
3.3.2 Processing chain
3.3.3 Performance metric
3.4 Results
3.4.1 Reference creation
3.4.2 System performance
3.5 Discussion
3.6 Conclusions
3.A PBV determination
3.A.1 Optical path descriptors
3.A.2 Experimental PBV determination
3.B Pseudocode for model-based PPG
References
4 Camera-based respiration monitoring
4.1 Introduction
4.2 Setup and measurements
4.2.1 Camera setup in the MR system
4.2.2 Data collection and preparation
4.3 Methods
4.3.1 PPG-based
4.3.2 Motion-based: optical flow
4.3.3 Motion-based: profile correlation
4.3.4 Respiratory signal and rate
4.4 Results and discussion
4.5 Conclusions
References
5 Camera-based blood oxygen measurement
5.1 Introduction
5.2 Principle
5.3 Application: monitoring blood oxygen saturation in human skin
5.4 Application: monitoring blood oxygen saturation in skin during changes in fraction of inspired oxygen
5.5 Application: monitoring blood oxygen saturation in brain
5.6 Application: monitoring blood oxygen saturation in hepatic ischemia-reperfusion
References
6 Camera-based blood pressure monitoring
6.1 Advantages over other potential cuff-less BP measurement devices
6.2 Theoretical principles
6.2.1 Contactless acquisition of arterial waveforms
6.2.2 Extraction of waveform features that correlate with BP
6.2.3 Calibration of features to BP using cuff BP measurements
6.3 Summary of previous experimental studies
6.3.1 Key camera-based BP monitoring investigations
6.3.2 Relevant contact-sensor BP monitoring investigations.
6.4 Conclusions
6.4.1 Summary
6.4.2 Future research directions
6.4.3 Outlook
Acknowledgments
References
7 Clinical applications for imaging photoplethysmography
7.1 Overview
7.2 Patient monitoring and risk assessment
7.2.1 Current monitoring-target groups and technology
7.2.2 Patient monitoring by iPPG-measures of relevance
7.2.3 Patient monitoring by iPPG-realistic usage scenarios
7.3 Application beyond patient monitoring
7.3.1 Sleep medicine
7.3.2 Local perfusion analysis
7.3.3 Skin microcirculation as diagnostic proxy
7.3.4 Further applications
7.4 Summary and outlook
Acknowledgments
References
8 Applications of camera-based physiological measurement beyond healthcare
8.1 The evolution from the lab to the real world
8.2 The promise for ubiquitous computing
8.2.1 Fitness and wellness
8.2.2 Affective computing
8.2.3 Biometric recognition and liveness detection
8.2.4 Avatars, remote communication, and mixed reality
8.3 Challenges
8.4 Ethics and privacy implications
8.5 Regulation
8.6 Summary
References
Part II Wireless sensor-based vital signs monitoring
9 Radar-based vital signs monitoring
9.1 Introduction
9.2 Vital signs monitoring through continuous-wave radar
9.2.1 Theory
9.2.1.1 Basic theory
9.2.1.2 Phase demodulation algorithm
9.2.1.3 Advancements in CW radar
9.2.2 Vital signs monitoring
9.2.2.1 Cardiopulmonary monitoring
9.2.2.2 Cancer medical application
9.3 Vital signs monitoring using FMCW radar
9.3.1 Composition of an FMCW radar system
9.3.2 Analysis of an FMCW radar IF signal
9.3.3 FMCW radar parameter estimation
9.3.3.1 FMCW radar range estimation
9.3.3.2 FMCW radar velocity estimation
9.3.3.3 FMCW radar angle estimation.
9.3.3.4 FMCW radar phase-based range-tracking algorithm for vital signs monitoring
9.3.4 Examples of FMCW radar on contactless vital signs monitoring
9.3.4.1 Respiration monitoring
9.3.4.2 Indoor human tracking
9.3.4.3 Hybrid radar systems for human tracking and identification
9.3.4.4 Other types of FMCW radar vital signs detection applications
9.4 Conclusion
References
10 Received power-based vital signs monitoring
10.1 Introduction
10.2 Related work
10.2.1 Radar approaches
10.2.2 Repurposing wireless transceivers
10.3 Received power-based vital signs monitoring
10.3.1 Received power model
10.3.2 Estimating rates from received power
10.4 Implementation
10.4.1 Hardware
10.4.2 Software
10.4.3 Experimental setup
10.5 Experimental results
10.5.1 Breathing-rate accuracy
10.5.1.1 Respiration-rate estimation with controlled breathing
10.5.1.2 Respiration-rate estimation with short-term uncontrolled breathing
10.5.1.3 Respiration-rate estimation with long-term uncontrolled breathing
10.5.2 Pulse-rate accuracy
10.6 Conclusion
References
11 WiFi CSI-based vital signs monitoring
11.1 Introduction
11.2 An historic review of WiFi-based human respiration monitoring
11.2.1 RSS-based respiration monitoring
11.2.2 CSI-based respiration monitoring
11.3 The principle of WiFi CSI-based respiration monitoring
11.3.1 The basics of WiFi CSI
11.3.2 Modeling human respiration
11.3.3 Fresnel diffraction and reflection sensing models
11.4 Robust single-person respiration monitoring
11.4.1 Removing ``blind spots'' for respiration monitoring
11.4.1.1 Exploiting complementarity of CSI amplitude and phase
11.4.1.2 Adding `a `virtual'' multipath
11.4.2 Pushing the sensing range of respiration monitoring
11.4.2.1 The CSI-ratio model.
11.4.2.2 Applying CSI ratio to single-person respiration sensing
11.4.2.3 Evaluation
11.5 Robust multi-person respiration monitoring
11.5.1 Modeling of CSI-based multi-person respiration sensing
11.5.1.1 Effects of multi-person respiration on WiFi CSI
11.5.1.2 Modeling multi-person respiration sensing as a blind-source separation problem
11.5.2 The advantages of our approach
11.5.2.1 Reducing the noise in CSI amplitude
11.5.2.2 Eliminating the ``blind spots''
11.5.2.3 Resolving similar respiration rates
11.5.3 Evaluation
11.5.3.1 Experimental setup
11.5.3.2 Experiment results
11.6 Summary
Acknowledgments
References
12 RFID-based vital signs monitoring
12.1 Introduction
12.2 Background
12.2.1 Literature review
12.2.1.1 RFID sensing
12.2.1.2 Wireless-based vital signs monitoring
12.2.1.3 RFID-based vital signs monitoring
12.2.1.4 Respiration monitoring system
12.2.2 RFID physical-layer measurement
12.3 Respiration monitoring using RFID systems
12.3.1 System overview
12.3.2 Low-level data characterization
12.3.3 Breath signal extraction
12.3.4 Enhance monitoring with sensor fusion of multiple tags
12.3.5 Discussion
12.4 Implementation and evaluation
12.4.1 Implementation
12.4.2 Experiment setting
12.4.3 Experiment results
12.5 Conclusion
References
13 Acoustic-based vital signs monitoring
13.1 Introduction
13.2 Related work
13.3 Sonar phase analysis
13.4 The SonarBeat system
13.4.1 SonarBeat system architecture
13.4.2 Signal generation
13.4.3 Data extraction
13.4.4 Received signal preprocessing
13.4.4.1 I/Q demodulation
13.4.4.2 Static vector effect reduction
13.5 Experimental study
13.5.1 Implementation and test configuration
13.5.2 Performance of breathing-rate estimation.

Contactless vital signs monitoring /

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