Contactless Vital Signs Monitoring
Academic Press Inc (Verlag)
978-0-12-822281-2 (ISBN)
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.
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. 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.
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
Erscheinungsdatum | 01.10.2021 |
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Zusatzinfo | Approx. 120 illustrations; Illustrations |
Verlagsort | San Diego |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 590 g |
Themenwelt | Informatik ► Weitere Themen ► CAD-Programme |
Technik ► Maschinenbau | |
ISBN-10 | 0-12-822281-6 / 0128222816 |
ISBN-13 | 978-0-12-822281-2 / 9780128222812 |
Zustand | Neuware |
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