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Time flows like a river, ceaselessly day and night. 

Research profile

Wenjin Wang is a guest researcher with the Electronic Systems group and Signal Processing Systems group of the department of Electrical Engineering at Eindhoven University of Technology. His main affiliation is with Philips Research where he works as a scientist. His areas of expertise include biomedical opticssignal/image processing, computer vision, and machine learning. His current research focus is on camera-based vital signs monitoring (e.g. remote photoplethysmography). His earlier PhD work on this topic led to various peer-reviewed journals/conference publications, patent applications, and systems/prototypes that will end in customized applicationsMeanwhile, hserves as a reviewer for several well-known journals and conferences. He is also active in academia like organizing workshops/sessions at the top conference. 

Academic background

Wenjin Wang received his BSc in Biomedical Engineering (in the top-class program) from Northeastern University (China) in 2011; his MSc in Artificial Intelligence from University of Amsterdam (The Netherlands) in 2013, with the full scholarship; and his PhD in Electrical Engineering from Eindhoven University of Technology (TU/e, The Netherlands) in 2017, with the PhD thesis "Robust and Automatic Remote Photoplethysmography". His earlier PhD work in camera-based vital signs monitoring led to 11 journal publications (8 times the first author), 4 conference papers (2 times the first author), and 8 patent applications (with Philips Research). After PhD, he joined Philips Research as a scientist, working on contactless monitoring technologies. He is also a guest researcher at TU/e. 

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  • 1 Similar Profiles
Photoplethysmography Engineering & Materials Science
Skin Engineering & Materials Science
Cameras Engineering & Materials Science
Tissue Engineering & Materials Science
Monitoring Engineering & Materials Science
Processing Engineering & Materials Science
Pulse Medicine & Life Sciences
Color Engineering & Materials Science

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Research Output 2014 2018

  • 294 Citations
  • 12 Article
  • 6 Patent publication
  • 5 Conference contribution
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)
1 Citation (Scopus)

Attacks on heartbeat-based security using remote photoplethysmography

Seepers, R. M., Wang, W., de Haan, G., Sourdis, I. & Strydis, C., 1 May 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 3, p. 714-721 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Photoplethysmography
Equipment and Supplies
Security systems
Authentication
Telemedicine
2 Citations (Scopus)

Full video pulse extraction

Wang, W., den Brinker, A. C. & de Haan, G., 1 Aug 2018, In : Biomedical Optics Express. 9, 8, p. 3898-3914 17 p., 307717

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Pulse
heart rate
pulses
Infant Incubators
Heart Rate
1 Citation (Scopus)

Fully-automatic camera-based pulse-oximetry during sleep

Vogels, T. J. H., van Gastel, M. J. H., Wang, W. & de Haan, G., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . Piscataway: Institute of Electrical and Electronics Engineers, 9 p. 8575340

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Cameras
Oxygen
Monitoring
Skin
Sensors

Single element remote-PPG

Wang, W., den Brinker, A. C. & de Haan, G., 20 Nov 2018, In : IEEE Transactions on Biomedical Engineering.

Research output: Contribution to journalArticleAcademicpeer-review

Photoplethysmography
Skin
Data privacy
Monitoring
Optical properties
55 Citations (Scopus)

Algorithmic principles of remote-PPG

Wang, W., den Brinker, A. C., Stuijk, S. & de Haan, G., 1 Jul 2017, In : IEEE Transactions on Biomedical Engineering. 64, 7, p. 1479-1491 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Photoplethysmography
Skin
Mathematical models

Student theses

Non-contact respiration monitoring based on matrix factorization with automatic RoI detection

Author: Janssen, R., 31 Jul 2015

Supervisor: de Haan, G. (Supervisor 1), Wang, W. (Supervisor 2) & Kirenko, I. (External person) (External coach)

Student thesis: Master