Color Intensity: A Study of RPPG Algorithm for Heart Rate Estimation

Sinhal, Ruchika; Singh, Kavita R.; Gupta, K. O.

doi:10.1109/compe53109.2021.9752363

Cited by 3 publications

(4 citation statements)

References 28 publications

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“…It is important to include several datasets because, as we have seen, the dataset has a significant impact on the results. Moreover, in that study (Sinhal et al, 2021), there was no analysis of how the subjects' movements could affect the assessment. Another study (Lee et al, 2013), focused on the differences in RGB in relation to movement.…”

Section: δBpm| |δBpm|mentioning

confidence: 95%

“…This indicates that the green channel is a proper candidate, but there is no exhaustive scientific study that has confirmed it. One recent study (Sinhal et al, 2021) pointed out the difference between RGB signals and other 10.3389/fphys.2023.1296277 algorithms, but only for one dataset, and it used fewer metrics. It is important to include several datasets because, as we have seen, the dataset has a significant impact on the results.…”

Section: δBpm| |δBpm|mentioning

confidence: 99%

“…Previous research, including Verkruysse et al (Verkruysse et al, 2008), Sinhal et al (Sinhal et al, 2021), and Bhattacharjee et al (Bhattacharjee and Yusuf, 2021), has explored the quality of rPPG signals from RGB data. While the green channel's potential is acknowledged, the roles of blue and red channels, assessed under limited conditions, remain unclear.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG

Ontiveros,

Elgendi,

Missale

et al. 2023

Front. Physiol.

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Remote photoplethysmography (rPPG) provides a non-contact method for measuring blood volume changes. In this study, we compared rPPG signals obtained from video cameras with traditional contact-based photoplethysmography (cPPG) to assess the effectiveness of different RGB channels in cardiac signal extraction. Our objective was to determine the most effective RGB channel for detecting blood volume changes and estimating heart rate. We employed dynamic time warping, Pearson’s correlation coefficient, root-mean-square error, and Beats-per-minute Difference to evaluate the performance of each RGB channel relative to cPPG. The results revealed that the green channel was superior, outperforming the blue and red channels in detecting volumetric changes and accurately estimating heart rate across various activities. We also observed that the reliability of RGB signals varied based on recording conditions and subject activity. This finding underscores the importance of understanding the performance nuances of RGB inputs, crucial for constructing rPPG signals in algorithms. Our study is significant in advancing rPPG research, offering insights that could benefit clinical applications by improving non-contact methods for blood volume assessment.

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Section: δBpm| |δBpm|mentioning

confidence: 95%

Section: δBpm| |δBpm|mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG

Ontiveros,

Elgendi,

Missale

et al. 2023

Front. Physiol.

View full text Add to dashboard Cite

show abstract

“…Later, different methods for rPPG investigated in [53] and deferred to ICA to yield better accuracy and reliability. This BSS approach was further investigated and adopted in the literature [54], explaining the performance limits of ICA-based techniques down the line. In the BSS method, the raw signal traces are combined, and the most periodic independent signal selected is the PP signal.…”

Section: Dimensionality Reductionmentioning

confidence: 99%

Intelligent Remote Photoplethysmography-Based Methods for Heart Rate Estimation from Face Videos: A Survey

Premkumar

Hemanth

2022

Informatics

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Over the last few years, a rich amount of research has been conducted on remote vital sign monitoring of the human body. Remote photoplethysmography (rPPG) is a camera-based, unobtrusive technology that allows continuous monitoring of changes in vital signs and thereby helps to diagnose and treat diseases earlier in an effective manner. Recent advances in computer vision and its extensive applications have led to rPPG being in high demand. This paper specifically presents a survey on different remote photoplethysmography methods and investigates all facets of heart rate analysis. We explore the investigation of the challenges of the video-based rPPG method and extend it to the recent advancements in the literature. We discuss the gap within the literature and suggestions for future directions.

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Remote Photoplethysmography for Heart Rate and Blood Oxygenation Measurement: A Review

Pirzada,

Wilde,

Harris-Birtill

2024

IEEE Sensors J.

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Usually measured through obtrusive contact-based methods, heart rate (HR) and peripheral oxygen saturation (SpO 2 ) are critical physiological signs used by clinicians during emergency interventions. Remote Photoplethysmography (rPPG) allows for unobtrusive sensing of these vital signs for health monitoring in various settings. We present a review of rPPG-related research conducted including related processes and techniques, such as regions of interest (ROI) selection, extracting the raw signal, pre-processing data, applying noise reduction algorithms, Fast Fourier transforms (FFT), filtering and extracting these vital signs. Further, we present a detailed, critical evaluation of available rPPG systems. Limitations and future directions have also been identified to further advance this field.

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Color Intensity: A Study of RPPG Algorithm for Heart Rate Estimation

Cited by 3 publications

References 28 publications

Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG

Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG

Intelligent Remote Photoplethysmography-Based Methods for Heart Rate Estimation from Face Videos: A Survey

Remote Photoplethysmography for Heart Rate and Blood Oxygenation Measurement: A Review

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