Cited by 491Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlOptical Imaging and Spectroscopy Techniques

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Improved motion robustness of remote-PPG by using the blood volume pulse signature

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de Haan, G, van Leest, A·2014·Physiological Measurement

DOI 10.1088/0967-3334/35/9/1913

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Abstract

Remote photoplethysmography (rPPG) enables contact-free monitoring of the blood volume pulse using a color camera. Essentially, it detects the minute optical absorption changes caused by blood volume variations in the skin. In this paper, we show that the different absorption spectra of arterial blood and bloodless skin cause the variations to occur along a very specific vector in a normalized RGB-space. The exact vector can be determined for a given light spectrum and for given transfer characteristics of the optical filters in the camera. We show that this 'signature' can be used to design an rPPG algorithm with a much better motion robustness than the recent methods based on blind source separation, and even better than the chrominance-based methods we published earlier. Using six videos recorded in a gym, with four subjects exercising on a range of fitness devices, we confirm the superior motion robustness of our newly proposed rPPG methods. A simple peak detector in the frequency domain returns the correct pulse-rate for 68% of total measurements compared to 60% for the best previous method, while the SNR of the pulse-signal improves from - 5 dB to - 4 dB. For a large population of 117 stationary subjects we prove that the accuracy is comparable to the best previous method, although the SNR of the pulse-signal drops from + 8.4 dB to + 7.6 dB. We expect the improved motion robustness to significantly widen the application scope of the rPPG-technique.

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Authors: de Haan, G., & van Leest, A.
Venue: Physiological Measurement
Publisher: IOP Publishing
Published: 2014-08-27
Volume: 35
Issue: 9
Pages: 1913-1926
ISSN: 0967-3334 (ISSN-L)
1361-6579
DOI: 10.1088/0967-3334/35/9/1913
OpenAlex: W2044935899
Cited by: 491
References: 16
Citations by year: 2026: 39 · 2025: 77 · 2024: 67 · 2023: 56 · 2022: 70 · 2021: 42 · 2020: 28 · 2019: 32 · 2018: 34 · 2017: 26 · 2016: 12 · 2015: 8
FWCI: 7.96
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: iopscience.iop.org/info/page/text-and-data-mining (tdm)
iopscience.iop.org/page/copyright (vor)
Locations: Physiological Measurement (publishedVersion)
PubMed (publishedVersion)
TU/e Research Portal (publishedVersion, other-oa)
TU/e Research Portal (submittedVersion)
TU/e Research Portal (submittedVersion, other-oa)
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: remote photoplethysmography, blood volume pulse, motion robustness, RGB color space, pulse rate detection, signal-to-noise ratio, non-contact vital sign monitoring, exercise monitoring

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Improved motion robustness of remote-PPG by using the blood volume pulse signature

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