Contactless Vital Signs Monitoring - Softcover

Über die Autorinnen und Autoren

Dr. Wenjin Wang is an Associate Professor in the Department of Biomedical Engineering at SUSTech, a PhD advisor, and the Principal Investigator (PI) of the Contactless Healthcare Lab. His research focuses on contactless health monitoring using camera sensors. Before joining SUSTech, he was an Assistant Professor at Eindhoven University of Technology (TU/e) and a Scientist at Philips Research Eindhoven. He earned his PhD from TU/e in 2017 and his MSc from the University of Amsterdam in 2013 (recipient of the Amsterdam Merit Scholarship, Top 5%). Upon returning to China, he was awarded the National Excellent Young Scholars (Overseas) in 2022.

Dr. Wang is recognized on the Stanford Top 2% Scientists List. In 2023, he was named one of the Top 20 Young Scientists in China by the Journal of Scientific Chinese. In 2024, he received the Young Scientist Innovation Prize from the Guangdong Provincial Government. He has authored 110 SCI journal articles and international conference papers (including IEEE-TBME/JBHI/IOTJ/TIM), accumulating over 4,100 Google Scholar citations. He has received the IEEE-EMBS Prize Paper Award, published 2 Elsevier books, and holds 20 granted US/EP/JP patents and 15 Chinese patents.

His research has been supported by prestigious national and industrial grants, including the National Key R&D Program of China; Original Research Program of Natural Science Foundation of China (NSFC); General Research Program of NSFC; General Program of Guangdong Basic and Applied Basic Research Foundation; General Program of Shenzhen Science and Technology Foundation; Peacock Team Program of Shenzhen; Shenzhen Enterprise Research Program; etc.

An active contributor to the academic community, Dr. Wang co-founded the CVPM Workshop and has organized it annually at CVPR/ICCV. He has been invited to deliver tutorials at CVPR every year from 2019 to 2025. He serves as a Guest Associate Editor for IEEE-JBHI.

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.

Von der hinteren Coverseite

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 trainning, 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.