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

Ontiveros, Rodrigo Castellano; Elgendi, Mohamed; Missale, Giuseppe; Menon, Carlo

doi:10.3389/fphys.2023.1296277

Cited by 4 publications

(2 citation statements)

References 33 publications

(38 reference statements)

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“…We selected a band between these 2 points (but excluding them) (see Fig. 1(B) ) and extracted average signal from the green channel (selected for highest rPPG signal strength [ 26 ] [ 27 ]) using this mask. We will refer to it as the rPPG signal thereafter.…”

Section: Methodsmentioning

confidence: 99%

Observation of blood motion in the internal jugular vein by contact and contactless photoplethysmography during physiological testing: case studies

Saiko,

Burton,

Kakihana

et al. 2024

Biomed. Opt. Express

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Central venous pressure is an estimate of right atrial pressure and is often used to assess hemodynamic status. However, since it is measured invasively, non-invasive alternatives would be of great utility. The aim of this preliminary study was a) to investigate whether photoplethysmography (PPG) can be used to characterize venous system fluid motion and b) to find the model for venous blood volume modulations. For this purpose, we monitored the internal jugular veins using contact (cPPG) and video PPG during clinically validated physiological tests: abdominojugular test (AJT) and breath holding (BH). Video PPG and cPPG signals were captured simultaneously on the left and right sides of the neck, respectively. ECG was also captured using the same clinical monitor as cPPG. Two volunteers underwent AJT and BH with head up/down, each with: baseline (15s), experiment (15s), and recovery (15s). Video PPG was split into remote PPG (rPPG) and micromotion detection. All signal modalities were significantly affected by physiological testing. Moreover, cPPG and micromotion waveforms exhibited primary features of jugular vein waveforms and, therefore, have great potential for venous blood flow monitoring. Specifically, remote patient monitoring applications may be enabled by this methodology, facilitating physical collection without a specially trained care provider.

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Section: Methodsmentioning

confidence: 99%

Observation of blood motion in the internal jugular vein by contact and contactless photoplethysmography during physiological testing: case studies

Saiko,

Burton,

Kakihana

et al. 2024

Biomed. Opt. Express

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show abstract

“… Publications by subject area [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , …”

Section: Figureunclassified

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Saikevičius,

Raudonis,

Dervinis

et al. 2024

Sensors

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The development of non-contact techniques for monitoring human vital signs has significant potential to improve patient care in diverse settings. By facilitating easier and more convenient monitoring, these techniques can prevent serious health issues and improve patient outcomes, especially for those unable or unwilling to travel to traditional healthcare environments. This systematic review examines recent advancements in non-contact vital sign monitoring techniques, evaluating publicly available datasets and signal preprocessing methods. Additionally, we identified potential future research directions in this rapidly evolving field.

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Optimal signal quality index for remote photoplethysmogram sensing

Elgendi,

Martinelli,

Menon

2024

npj Biosensing

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Remote photoplethysmography (rPPG) enables non-invasive monitoring of circulatory signals using mobile devices, a crucial advancement in biosensing. Despite its potential, ensuring signal quality amidst noise and artifacts remains a significant challenge, particularly in healthcare applications. Addressing this, our study focuses on a singular signal quality index (SQI) for rPPG, aimed at simplifying high-quality video capture for heart rate detection and cardiac assessment. We introduce a practical threshold for this SQI, specifically the signal-to-noise ratio index (NSQI), optimized for straightforward implementation on portable devices for real-time video analysis. Employing (NSQI < 0.293) as our threshold, our methodology successfully identifies high-quality cardiac information in video frames, effectively mitigating the influence of noise and artifacts. Validated on publicly available datasets with advanced machine learning algorithms and leave-one-out cross-validation, our approach significantly reduces computational complexity. This innovation not only enhances efficiency in health monitoring applications but also offers a pragmatic solution for remote biosensing. Our findings constitute a notable advancement in rPPG signal quality assessment, marking a critical step forward in the development of remote cardiac monitoring technologies with extensive healthcare implications.

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

Cited by 4 publications

References 33 publications

Observation of blood motion in the internal jugular vein by contact and contactless photoplethysmography during physiological testing: case studies

Observation of blood motion in the internal jugular vein by contact and contactless photoplethysmography during physiological testing: case studies

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

Optimal signal quality index for remote photoplethysmogram sensing

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