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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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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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 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.
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.
1. Human physiology and contactless vital signs monitoring using camera and wireless signals
Xuyu Wang and Dangdang Shao
Part I: Camera-based vital signs monitoring
2. Physiological origin of camera-based PPG imaging
Alexei A. Kamshilin and Oleg V. Mamontov
3. Model-based camera-PPG: pulse rate monitoring in fitness
Albertus C. den Brinker and Wenjin Wang
4. Camera-based respiration monitoring: motion and PPG-based measurement
Wenjin Wang and Albertus C. den Brinker
5. Camera-based blood oxygen measurement
Izumi Nishidate
6. Camera-based blood pressure monitoring
Keerthana Natarajan, Mohammad Yavarimanesh, Wenjin Wang, and Ramakrishna Mukkamala
7. Clinical applications for imaging photoplethysmography
Sebastian Zaunseder and Stefan Rasche
8. Applications of camera-based physiological measurement beyond healthcare
Daniel McDuff
Part II: Wireless sensor-based vital signs monitoring
9. Radar-based vital signs monitoring
Jingtao Liu, Yuchen Li, and Changzhan Gu
10. Received power-based vital signs monitoring
Jie Wang, Alemayehu Solomon Abrar, and Neal Patwari
11. WiFi CSI-based vital signs monitoring
Daqing Zhang, Youwei Zeng, Fusang Zhang, and Jie Xiong
12. RFID-based vital signs monitoring
Yuanqing Zheng and Yanwen Wang
13. Acoustic-based vital signs monitoring
Xuyu Wang and Shiwen Mao
14. RF and camera-based vital signs monitoring applications
Li Zhang, Changhong Fu, Changzhi Li, and Hong Hong
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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.
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