The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Remote plethysmographic imaging using ambient light
Open accessAbstract
Plethysmographic signals were measured remotely (> 1m) using ambient light and a simple consumer level digital camera in movie mode. Heart and respiration rates could be quantified up to several harmonics. Although the green channel featuring the strongest plethysmographic signal, corresponding to an absorption peak by (oxy-) hemoglobin, the red and blue channels also contained plethysmographic information. The results show that ambient light photo-plethysmography may be useful for medical purposes such as characterization of vascular skin lesions (e.g., port wine stains) and remote sensing of vital signs (e.g., heart and respiration rates) for triage or sports purposes.
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Citations
Cites
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Cited by
Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
Poh, M.-Z., McDuff, D. J., & Picard, R. W. (2010) · Optics Express · doi:10.1364/oe.18.010762 · Cited by 1,643
Robust pulse rate from chrominance-based rPPG
de Haan, G., & Jeanne, V. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2266196 · Cited by 1,378
Algorithmic principles of remote PPG
Wang, W., den Brinker, A. C., Stuijk, S., & de Haan, G. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2609282 · Cited by 1,234
Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912
“The green signal was found to provide the strongest plethysmographic signal among camera RGB signals [11,12].”
BackgroundDeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks
Chen, W., & McDuff, D. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01216-8_22 · Cited by 716
Metadata
- Authors
- Verkruysse, W., Svaasand, L. O., & Nelson, J. S.
- Venue
- Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2008-12-12
- Volume
- 16
- Issue
- 26
- Pages
- 21434
- ISSN
- 1094-4087 (ISSN-L)
- OpenAlex
- W2003922338
- Cited by
- 1,719
- References
- 1
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- gold
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- Verkruysse, W., Svaasand, L. O., & Nelson, J. S. (2008). Remote plethysmographic imaging using ambient light. Optics Express. https://doi.org/10.1364/oe.16.021434
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
