Contactless Vital Signs Monitoring
- 1st Edition - September 20, 2021
- Imprint: Academic Press
- Editors: Wenjin Wang, Xuyu Wang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 2 8 1 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 2 8 2 - 9
Vital signs, such as heart rate and respiration rate, are useful to health monitoring because they can provide important physiological insights for medical diagnosis and we… Read more
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Request a sales quoteVital signs, such as heart rate and respiration rate, are useful to health monitoring because they can provide important physiological insights for medical diagnosis and well-being management. Most traditional methods for measuring vital signs require a person to wear biomedical devices, such as a capnometer, a pulse oximeter, or an electrocardiogram sensor. These contact-based technologies are inconvenient, cumbersome, and uncomfortable to use. There is a compelling need for technologies that enable contact-free, easily deployable, and long-term monitoring of vital signs for healthcare.
Contactless Vital Signs Monitoring presents a systematic and in-depth review on the principles, methodologies, and opportunities of using different wavelengths of an electromagnetic spectrum to measure vital signs from the human face and body contactlessly. The volume brings together pioneering researchers active in the field to report the latest progress made, in an intensive and structured way. It also presents various healthcare applications using camera and radio frequency-based monitoring, from clinical care to home care, to sport training and automotive, such as patient/neonatal monitoring in intensive care units, general wards, emergency department triage, MR/CT cardiac and respiratory gating, sleep centers, baby/elderly care, fitness cardio training, driver monitoring in automotive settings, and more.
This book will be an important educational source for biomedical researchers, AI healthcare researchers, computer vision researchers, wireless-sensing researchers, doctors/clinicians, physicians/psychologists, and medical equipment manufacturers.
- Includes various contactless vital signs monitoring techniques, such as optical-based, radar-based, WiFi-based, RFID-based, and acoustic-based methods.
- Presents a thorough introduction to the measurement principles, methodologies, healthcare applications, hardware set-ups, and systems for contactless measurement of vital signs using camera or RF sensors.
- Presents the opportunities for the fusion of camera and RF sensors for contactless vital signs monitoring and healthcare.
Researchers, scientists, engineers, technicians in the healthcare industry, especially those working on health monitoring technologies or AI healthcare solutions. Professors, Post-Doc, PhD, MSc students and researchers in academia, working on healthcare-related research topics/projects and neighboring fields, such as computer vision, image/signal processing, biomedical engineering, wireless sensing, and the likes.
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Foreword
- Preface
- Chapter 1: Human physiology and contactless vital signs monitoring using camera and wireless signals
- Abstract
- Acknowledgements
- 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
- 1.4. Applications of camera-based vital signs monitoring
- 1.5. Wireless-based vital signs monitoring
- 1.6. Current techniques of wireless-based vital signs monitoring
- 1.7. Conclusions
- References
- Part I: Camera-based vital signs monitoring
- Chapter 2: Physiological origin of camera-based PPG imaging
- Abstract
- Acknowledgements
- 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
- References
- Chapter 3: Model-based camera-PPG
- Abstract
- 3.1. Introduction
- 3.2. Model-based pulse rate extraction
- 3.3. Fitness application
- 3.4. Results
- 3.5. Discussion
- 3.6. Conclusions
- Appendix 3.A. PBV determination
- Appendix 3.B. Pseudocode for model-based PPG
- References
- Chapter 4: Camera-based respiration monitoring
- Abstract
- 4.1. Introduction
- 4.2. Setup and measurements
- 4.3. Methods
- 4.4. Results and discussion
- 4.5. Conclusions
- References
- Chapter 5: Camera-based blood oxygen measurement
- Abstract
- 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
- Chapter 6: Camera-based blood pressure monitoring
- Abstract
- Acknowledgements
- 6.1. Advantages over other potential cuff-less BP measurement devices
- 6.2. Theoretical principles
- 6.3. Summary of previous experimental studies
- 6.4. Conclusions
- References
- Chapter 7: Clinical applications for imaging photoplethysmography
- Abstract
- Acknowledgements
- 7.1. Overview
- 7.2. Patient monitoring and risk assessment
- 7.3. Application beyond patient monitoring
- 7.4. Summary and outlook
- References
- Chapter 8: Applications of camera-based physiological measurement beyond healthcare
- Abstract
- 8.1. The evolution from the lab to the real world
- 8.2. The promise for ubiquitous computing
- 8.3. Challenges
- 8.4. Ethics and privacy implications
- 8.5. Regulation
- 8.6. Summary
- References
- Part II: Wireless sensor-based vital signs monitoring
- Chapter 9: Radar-based vital signs monitoring
- Abstract
- 9.1. Introduction
- 9.2. Vital signs monitoring through continuous-wave radar
- 9.3. Vital signs monitoring using FMCW radar
- 9.4. Conclusion
- References
- Chapter 10: Received power-based vital signs monitoring
- Abstract
- 10.1. Introduction
- 10.2. Related work
- 10.3. Received power-based vital signs monitoring
- 10.4. Implementation
- 10.5. Experimental results
- 10.6. Conclusion
- References
- Chapter 11: WiFi CSI-based vital signs monitoring
- Abstract
- Acknowledgements
- 11.1. Introduction
- 11.2. An historic review of WiFi-based human respiration monitoring
- 11.3. The principle of WiFi CSI-based respiration monitoring
- 11.4. Robust single-person respiration monitoring
- 11.5. Robust multi-person respiration monitoring
- 11.6. Summary
- References
- Chapter 12: RFID-based vital signs monitoring
- Abstract
- 12.1. Introduction
- 12.2. Background
- 12.3. Respiration monitoring using RFID systems
- 12.4. Implementation and evaluation
- 12.5. Conclusion
- References
- Chapter 13: Acoustic-based vital signs monitoring
- Abstract
- Acknowledgement
- 13.1. Introduction
- 13.2. Related work
- 13.3. Sonar phase analysis
- 13.4. The SonarBeat system
- 13.5. Experimental study
- 13.6. Conclusions
- References
- Chapter 14: RF and camera-based vital signs monitoring applications
- Abstract
- 14.1. The pros and cons of RF and camera sensors
- 14.2. A hybrid radar–camera sensing system with phase compensation for random-body movement cancellation (RBMC) Doppler vitals sign detection
- 14.3. Non-contact dual-modality emotion recognition system by CW radar and RGB camera
- References
- Index
- Edition: 1
- Published: September 20, 2021
- No. of pages (Paperback): 362
- No. of pages (eBook): 362
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128222812
- eBook ISBN: 9780128222829
WW
Wenjin Wang
Dr. Wenjin Wang is an associate professor at the Southern University of Science and Technology in China. He previously held the position of an assistant professor at Eindhoven University of Technology (TU/e) in the Netherlands and worked as a scientist at Philips Research, also in the Netherlands. His ongoing research centers around camera-based health monitoring and the development of intelligent healthcare applications. He earned his PhD from TU/e in 2017, focusing on the topic of camera-based physiological measurement.
Dr. Wang has (co-)authored over 70 journal and conference publications in this field, holds 16 granted patents, and has been involved in the creation of 4 consumer products. His research has been supported by prestigious programs such as the Excellent Young Scholars fund (Overseas) from the National Science Foundation of China (NSFC), the National Key R&D Program of China (Young Scientist category), the General Program of NSFC, and the Peacock Team Program of Shenzhen.
Affiliations and expertise
Southern University of Science and Technology, The NetherlandsXW
Xuyu Wang
Xuyu Wang is currently an Assistant Professor in the Department of Computer Science at California State University, Sacramento. He obtained his PhD from the Department of Electrical and Computer Engineering at Auburn University in 2018. His research interests include contactless vital sign monitoring, the Internet of Things, indoor localization, deep learning, computer vision, and wireless systems. He received the NSF CRII Award in 2021. He was a co-recipient of the Second Prize of the Natural Scientific Award of the Ministry of Education, China, in 2013, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the IEEE GLOBECOM 2019 Best Paper Award, the IEEE ComSoc MMTC Best Journal Paper Award in 2018, the Best Student Paper Award from the IEEE PIMRC 2017, and the Best Demo Award from the IEEE SECON 2017. He also serves as a reviewer for several well-known journals, such as the IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing, and the IEEE Internet of Things Journal.
Affiliations and expertise
Assistant Professor, Department of Computer Science, California State University, Sacramento, California, USARead Contactless Vital Signs Monitoring on ScienceDirect