Contactless Vital Signs Monitoring

Contactless Vital Signs Monitoring

1st Edition - September 20, 2021

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  • Editors: Wenjin Wang, Xuyu Wang
  • Paperback ISBN: 9780128222812
  • eBook ISBN: 9780128222829

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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 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.

Key Features

  • 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.

Table of Contents

  • 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

Product details

  • No. of pages: 362
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: September 20, 2021
  • Imprint: Academic Press
  • Paperback ISBN: 9780128222812
  • eBook ISBN: 9780128222829

About the Editors

Wenjin Wang

Wenjin Wang
Wenjin Wang is a scientist at Philips Research and an Assistant Professor at Eindhoven University of Technology (TU/e), the Netherlands. His current research focuses on camera-based health monitoring and intelligent healthcare solutions. He obtained his PhD from TU/e on the topic of camera-based physiological measurement. His previous and current work in the field has improved fundamental understanding (e.g., core algorithms) and the performance of camera-based vital signs monitoring, leading to various peer-reviewed international journal/conference publications, patents, and systems/prototypes/applications for video health monitoring. He serves as a reviewer for several well-known journals and has extensive experience in organizing sessions, workshops, and tutorials at top scientific conferences (CVPR, ICCV, EMBC).

Affiliations and Expertise

Scientist, Philips Research, and Assistant Professor, Eindhoven University of Technology (TU/e), Eindhoven, The Netherlands

Xuyu Wang

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, USA

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