The Wavelength Dependence Of The Photoplethysmogram And Its Implication To Pulse Oximetry

Crowe,; Damianou,

doi:10.1109/iembs.1992.592733

Cited by 5 publications

(5 citation statements)

References 15 publications

(18 reference statements)

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“…The strongest PPG signals under visible light are found in the green channel [Verkruysse et al, 2008], in agreement with early spectroscopic studies which noted that haemoglobin has absorption peaks within the green/yellow (520 -580 nm) region of the visible spectrum [Crowe and Damianou, 1992] (see Figure 2.16). While this may be surprising when considering that traditional PPG operates at much longer wavelengths, it is explained by the strong association of plethysmography with pulse oximetry, which has traditionally used red and IR wavelengths due to their spectral location on either side of the isobestic point 1 for oxy-and de-oxyhaemoglobin in the near-infrared (at 800 nm).…”

Section: Optoelectronic Set-upsupporting

confidence: 89%

Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit

Jorge

Villarroel

Chaichulee

et al. 2017

2017 12th IEEE International Conference on Automatic Face &Amp; Gesture Recognition (FG 2017)

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This thesis would not have been possible without the support of a great number of people. Above all, I would like to thank my doctoral supervisor, Professor Lionel Tarassenko. I will always be grateful for his mentorship. His genius, knowledge and enterprise have been an inspiration to me, and the example he has provided will stick with me long past my time at Oxford. Special thanks are due to the postdocs, docs and predocs in the Biomedical Signal Processing group. In particular, I had a great slice of good fortune for sharing an office and ideas with

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Section: Optoelectronic Set-upsupporting

confidence: 89%

Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit

Jorge

Villarroel

Chaichulee

et al. 2017

2017 12th IEEE International Conference on Automatic Face &Amp; Gesture Recognition (FG 2017)

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“…The pulsatility of the blood would still be available in this ratio provided that the pulsatility due to the blood volume changes is different in the individual color channels. Given the pulsatility as a function of wavelength exhibits a strong peak in green and the dips in red [9], [10], as illustrated in Fig. 1, the ratio of normalized green and red would make a motion robust pulse signal S i…”

Section: Discussionmentioning

confidence: 99%

“…1. As reported in [9], the amplitude of the PPG-signal in light reflected from the skin varies as a function of the wavelength, showing a strong peak around 550 nm and a dip around 650 nm.…”

Section: Introductionmentioning

confidence: 89%

Robust Pulse Rate From Chrominance-Based rPPG

Haan

Jeanne

2013

IEEE Trans. Biomed. Eng.

935

786

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Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge. For a population of 117 stationary subjects, we show our methods to perform in 92% good agreement ( ±1.96σ) with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS-based methods. In a fitness setting using a simple spectral peak detector, the obtained pulse-rate for modest motion (bike) improves from 79% to 98% correct, and for vigorous motion (stepping) from less than 11% to more than 48% correct. We expect the greatly improved robustness to considerably widen the application scope of the technology.

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“…For the reflection mode CPPG, the ac/dc ratio of the PPG signal is wavelength dependent, as shown in Fig. 4 [19]. For the RIPPG signal, the peak ac/dc ratio is even smaller, only about 2%.…”

Section: Motion Artifacts Analysismentioning

confidence: 93%

Motion-Resistant Remote Imaging Photoplethysmography Based on the Optical Properties of Skin

Feng

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

148

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Remote imaging photoplethysmography (RIPPG) can achieve contactless monitoring of human vital signs. However, the robustness to a subject's motion is a challenging problem for RIPPG, especially in facial video-based RIPPG. The RIPPG signal originates from the radiant intensity variation of human skin with pulses of blood and motions can modulate the radiant intensity of the skin. Based on the optical properties of human skin, we build an optical RIPPG signal model in which the origins of the RIPPG signal and motion artifacts can be clearly described. The region of interest (ROI) of the skin is regarded as a Lambertian radiator and the effect of ROI tracking is analyzed from the perspective of radiometry. By considering a digital color camera as a simple spectrometer, we propose an adaptive color difference operation between the green and red channels to reduce motion artifacts. Based on the spectral characteristics of photoplethysmography signals, we propose an adaptive bandpass filter to remove residual motion artifacts of RIPPG. We also combine ROI selection on the subject's cheeks with speeded-up robust features points tracking to improve the RIPPG signal quality. Experimental results show that the proposed RIPPG can obtain greatly improved performance in accessing heart rates in moving subjects, compared with the state-of-the-art facial videobased RIPPG methods.

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The Wavelength Dependence Of The Photoplethysmogram And Its Implication To Pulse Oximetry

Cited by 5 publications

References 15 publications

Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit

Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit

Robust Pulse Rate From Chrominance-Based rPPG

Motion-Resistant Remote Imaging Photoplethysmography Based on the Optical Properties of Skin

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