Frame Registration for Motion Compensation in Imaging Photoplethysmography

Iakovlev, Dmitry; Hu, Sijung; Dwyer, Vincent M.

doi:10.3390/s18124340

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…Further, in this work, we propose to use a novel brightness invariant optical flow algorithm 31 to reliably track and compensate the motion of the skin surface during perfusion imaging. Existing approaches to motion-robust blood perfusion imaging 25,27,32,33 relies on standard optical flow algorithm 34,35 for tracking the selected skin region before estimating the blood perfusion map. Since the appearance of the skin surface changes over time due to the blood volume change underneath, therefore standard optical flow algorithms that assume brightness constancy cannot be used for video stabilization.…”

mentioning

confidence: 99%

PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

Kumar

Suliburk

Veeraraghavan

et al. 2020

Sci Rep

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Blood carries oxygen and nutrients to the trillions of cells in our body to sustain vital life processes. Lack of blood perfusion can cause irreversible cell damage. therefore, blood perfusion measurement has widespread clinical applications. in this paper, we develop pulsecam -a new camera-based, motionrobust, and highly sensitive blood perfusion imaging modality with 1 mm spatial resolution and 1 frame-per-second temporal resolution. Existing camera-only blood perfusion imaging modality suffers from two core challenges: (i) motion artifact, and (ii) small signal recovery in the presence of large surface reflection and measurement noise. PulseCam addresses these challenges by robustly combining the video recording from the camera with a pulse waveform measured using a conventional pulse oximeter to obtain reliable blood perfusion maps in the presence of motion artifacts and outliers in the video recordings. For video stabilization, we adopt a novel brightness-invariant optical flow algorithm that helps us reduce error in blood perfusion estimate below 10% in different motion scenarios compared to 20-30% error when using current approaches. PulseCam can detect subtle changes in blood perfusion below the skin with at least two times better sensitivity, three times better response time, and is significantly cheaper compared to infrared thermography. PulseCam can also detect venous or partial blood flow occlusion that is difficult to identify using existing modalities such as the perfusion index measured using a pulse oximeter. With the help of a pilot clinical study, we also demonstrate that pulsecam is robust and reliable in an operationally challenging surgery room setting. We anticipate that pulsecam will be used both at the bedside as well as a point-of-care blood perfusion imaging device to visualize and analyze blood perfusion in an easy-to-use and cost-effective manner. open Scientific RepoRtS | (2020) 10:4825 | https://doi.comparing pulsecam with an infrared thermal camera. To compare PulseCam and infrared thermography, we perform incremental vascular occlusion experiment on 9 participants (5 male and 4 female) of varying skin tones (Fitzpatrick Scale I to VI) and record their palm videos using both a color camera as well as Scientific RepoRtS | (2020) 10:4825 | https://doi.

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mentioning

confidence: 99%

PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

Kumar

Suliburk

Veeraraghavan

et al. 2020

Sci Rep

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“…In paper [ 21 ], specific spectral components are added to ambient light to improve the SNR. Another image registration algorithm is proposed in [ 22 ] to increase the SNR.…”

Section: Introductionmentioning

confidence: 99%

Light and Displacement Compensation-Based iPPG for Heart-Rate Measurement in Complex Detection Conditions

Bi,

Wang,

Zhang

2024

Sensors

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A light and displacement-compensation-based iPPG algorithm is proposed in this paper for heart-rate measurement in complex detection conditions. Two compensation sub-algorithms, including light compensation and displacement compensation, are designed and integrated into the iPPG algorithm for more accurate heart-rate measurement. In the light-compensation sub-algorithm, the measurement deviation caused by the ambient light change is compensated by the mean filter-based light adjustment strategy. In the displacement-compensation sub-algorithm, the measurement deviation caused by the subject motion is compensated by the optical flow-based displacement calculation strategy. A series of heart-rate measurement experiments are conducted to verify the effectiveness of the proposed method. Compared with conventional iPPG, the average measurement accuracy increases by 3.8% under different detection distances and 5.0% under different light intensities.

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Non-contact heart rate measurement using low-cost RGB camera under complex light conditions

Wang,

Zhang

2024

Multimed Tools Appl

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Frame Registration for Motion Compensation in Imaging Photoplethysmography

Cited by 3 publications

References 40 publications

PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

PulseCam: a camera-based, motion-robust and highly sensitive blood perfusion imaging modality

Light and Displacement Compensation-Based iPPG for Heart-Rate Measurement in Complex Detection Conditions

Non-contact heart rate measurement using low-cost RGB camera under complex light conditions

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