The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
DistancePPG: Robust non-contact vital signs monitoring using a camera
Open accessAbstract
Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health tracking (e.g. on mobile phone and computers with webcams). Recently, camera-based non-contact vital sign monitoring have been shown to be feasible. However, camera-based vital sign monitoring is challenging for people with darker skin tone, under low lighting conditions, and/or during movement of an individual in front of the camera. In this paper, we propose distancePPG, a new camera-based vital sign estimation algorithm which addresses these challenges. DistancePPG proposes a new method of combining skin-color change signals from different tracked regions of the face using a weighted average, where the weights depend on the blood perfusion and incident light intensity in the region, to improve the signal-to-noise ratio (SNR) of camera-based estimate. One of our key contributions is a new automatic method for determining the weights based only on the video recording of the subject. The gains in SNR of camera-based PPG estimated using distancePPG translate into reduction of the error in vital sign estimation, and thus expand the scope of camera-based vital sign monitoring to potentially challenging scenarios. Further, a dataset will be released, comprising of synchronized video recordings of face and pulse oximeter based ground truth recordings from the earlobe for people with different skin tones, under different lighting conditions and for various motion scenarios.
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“and other subjective scales were employed in 13 studies (35.14%) [30,42,43,44,45,50,52,56,72,78,80,87,88].”
From Skin pigmentation influence on pulse oximetry accuracy: a systematic review and bibliometric analysis (2022) · cites this paper as [78]
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Cited by
Sorted by citations
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
“For a thorough evaluation, we benchmark it with seven commonly used or state-of-the-art rPPG methods: 1) G (2007) [1], the single wavelength method that is still popular as evidenced by recent researches [7], [10].”
MethodPhotoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging
Sun, Y., & Thakor, N. V. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2476337 · Cited by 589
RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation
Niu, X., Shan, S., Han, H., & Chen, X. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2947204 · Cited by 421
“[21] Webcam G Patch level signals combination FFT using weighted average”
MethodWireless Sensing for Human Activity: A Survey
Liu, J., Liu, H., Chen, Y., Wang, Y., & Wang, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2934489 · Cited by 414
“, DistancePPG [129]) and sensor-based (e.”
A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments
Ghamari, M., Janko, B., Sherratt, R. S., Harwin, W., Piechocki, R. J., & Soltanpur, C. (2016) · Sensors · doi:10.3390/s16060831 · Cited by 300
“For example, researchers from Rice University have been developing a non-contact video-camera system that can precisely monitor and measure temperature, pulse and breathing rate from changes in a patient’s skin color [99].”
Metadata
- Authors
- Kumar, M., Veeraraghavan, A., & Sabharwal, A.
- Affiliations
- Rice University (US)
- Venue
- Biomedical Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2015-04-06
- Volume
- 6
- Issue
- 5
- Pages
- 1565
- ISSN
- 2156-7085 (ISSN-L)
- PMC
- PMC4467696
- OpenAlex
- W2029745771
- Cited by
- 417
- References
- 17
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 36 · 2023: 46 · 2022: 49 · 2021: 57 · 2020: 35 · 2019: 47 · 2018: 46 · 2017: 33 · 2016: 31 · 2015: 7
- FWCI
- 19.38
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Biomedical Optics Express (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Rice Research Repository (Rice University) (submittedVersion)
- Funders
- National Science Foundation (NSF) (1126478, 1429047)
- Texas Higher Education Coordinating Board (THECB) (THECB-NHARP 13308)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- respiratory rate estimation, photoplethysmography, skin color change, blood perfusion, incident light intensity, signal-to-noise ratio, darker skin tones, motion robustness
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