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.
Author Biography:
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.
