Remote Photoplethysmography with a High-Speed Camera Reveals Temporal and Amplitude Differences between Glabrous and Non-Glabrous Skin

Cao, Meiyun; Burton, Timothy; Saiko, Gennadi; Douplik, Alexandre

doi:10.3390/s23020615

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…In the hand raising heatmap, we can see that the palm gave relatively low errors compared with the arms and legs. This supports the hypothesis that signal quality is higher on glabrous than non-glabrous skin [6], and shows promise for substituting the face region with the hand if necessary.…”

Section: Local Resultssupporting

confidence: 82%

“…Most of the existing research utilizes the diffuse reflection from the face region to estimate the rPPG signal, with the exception of a few works analyzing the hand [6,17,33,41], arms [50], and thigh [11]. A gap in current rPPG re- search is the capture and estimation at multiple parts of the body simultaneously.…”

Section: Non-facial Rppgmentioning

confidence: 99%

“…The collection began with the subject holding their left hand upright facing the camera for 90 seconds. This allows for evaluation of rPPG on the palm, a region with glabrous skin that is valuable for remote pulse estimation [6]. For the remainder of the session, subjects underwent a blood pressure measurement, guided breathing exercise, and relaxation period.…”

Section: Multi-site Physiological Monitoring Datasetmentioning

confidence: 99%

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Full-Body Cardiovascular Sensing with Remote Photoplethysmography

Lü¹,

Speth²,

Vance³

et al. 2023

Preprint

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Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the feasibility of rPPG from non-face body regions such as the arms, legs, and hands. We collected a new dataset titled Multi-Site Physiological Monitoring (MSPM), which will be released with this paper. The dataset consists of 90 frames per second video of exposed arms, legs, and face, along with 10 synchronized PPG recordings. We performed baseline heart rate estimation experiments from non-face regions with several state-of-the-art rPPG approaches, including chrominance-based (CHROM), planeorthogonal-to-skin (POS) and RemotePulseNet (RPNet). To our knowledge, this is the first evaluation of the fidelity of rPPG signals simultaneously obtained from multiple regions of a human body. Our experiments showed that skin pixels from arms, legs, and hands are all potential sources of the blood volume pulse. The best-performing approach, POS, achieved a mean absolute error peaking at 7.11 beats per minute from non-facial body parts compared to 1.38 beats per minute from the face. Additionally, we performed experiments on pulse transit time (PTT) from both the contact PPG and rPPG signals. We found that remote PTT is possible with moderately high frame rate video when distal locations on the body are visible. These findings and the supporting dataset should facilitate new research on nonface rPPG and monitoring blood flow dynamics over the whole body with a camera.

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Section: Local Resultssupporting

confidence: 82%

Section: Non-facial Rppgmentioning

confidence: 99%

Section: Multi-site Physiological Monitoring Datasetmentioning

confidence: 99%

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Full-Body Cardiovascular Sensing with Remote Photoplethysmography

Lü¹,

Speth²,

Vance³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The framer grabber interacts with Python code, using the Euresys eGrabber Python library that stores data in RAM directly 26 .…”

Section: Rppg Systemmentioning

confidence: 99%

Remote physiological monitoring of neck blood vessels

Cao,

Saiko,

Burton

et al. 2023

Optics and Photonics for Information Processing XVII

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Cardiovascular disease (CVD) is a leading cause of death globally. Current CVD diagnostic tests fail to predict early cardiovascular events and assess the risk of developing early CVD. Researchers are actively looking for biomarkers for CVD prediction, such as blood pressure, arterial stiffness, and pulse wave velocity (PWV). Several population-based clinical studies suggest increased PWV is associated with increased CVD mortality. In this study, we propose using a high-speed camera to study PWV as a biomarker of CVD with remote photoplethysmography (rPPG). We selected a reference signal based on distinct features, including peak and modulation depth variations, and used correlation to find the relationship between the local signals and the reference signal. The results revealed areas on the neck that positively and negatively correlated with selected reference signals, possibly representing the distribution of the significant neck vessels: carotid artery and jugular vein, which implies the feasibility of the remote estimation of local PWV using a high-speed camera, thereby expanding the potential applications of rPPG used for PWV estimation and assisted the CVD diagnosis.

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Diffuse transmittance visible spectroscopy using smartphone flashlight for photoplethysmography and vital signs measurements

Bachir

2023

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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Remote Photoplethysmography with a High-Speed Camera Reveals Temporal and Amplitude Differences between Glabrous and Non-Glabrous Skin

Cited by 4 publications

References 20 publications

Full-Body Cardiovascular Sensing with Remote Photoplethysmography

Full-Body Cardiovascular Sensing with Remote Photoplethysmography

Remote physiological monitoring of neck blood vessels

Diffuse transmittance visible spectroscopy using smartphone flashlight for photoplethysmography and vital signs measurements

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