A measurement of illumination variation-resistant noncontact heart rate based on the combination of singular spectrum analysis and sub-band method

Ryu, JongSong; Hong, SunChol; Liang, Shili; Pak, SinIl; Chen, Qingyue; Yan, Shifeng

doi:10.1016/j.cmpb.2020.105824

Cited by 13 publications

(4 citation statements)

References 31 publications

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“…The formula for calculating ME, MAE, RMSE, P%, and r is given in Refs. 34 and 35. As indicated in Table 4, the proposed method demonstrates the highest performance for HR measurement.…”

Section: Resultsmentioning

confidence: 99%

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Spatial averaging method based on adaptive weight for imaging photoplethysmography

Ryu,

Liang

et al. 2023

J. Biomed. Opt.

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. Significance Imaging photoplethysmography (iPPG) is a non-contact measuring technology for several physiological parameters reflecting personal health status without a special sensor. However, the pulse signal obtained using the iPPG usually is contaminated by various noises, and the intensity of the interesting pulse signal is relatively weak compared to the noises, emphasizing the necessity of obtaining high-quality pulse signals to measure physiological parameters correctly. Aim Various regions of the face harbor distinct pulse information. We propose a spatial averaging method based on adaptive weights, which can obtain high-quality pulse signals by applying different weights to facial sub-regions of interest (sub-ROIs; sROIs). Approach First, the facial ROI is divided into seven sROIs and the coarse heart rate (HR) is calculated from them. Next, the signal-to-noise ratio (SNR) of the raw signal obtained from each sROI is calculated using the coarse HR, and then a high-quality pulse signal is obtained by assigning positive or negative weights to each sROI based on the SNRs. Results We compare our method with others through the quality analysis of the obtained pulse signals using the self-collected database and the public database PURE. The comparison results show that the proposed method can provide a better pulse signal compared to other methods under various resolutions and states. Conclusions This proposed method can obtain the pulse signal with better quality, which is helpful to accurately measure physiological parameters, such as HR and HR variability.

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“…The formula for calculating ME, MAE, RMSE, P%, and r is given in Refs. 34 and 35. As indicated in Table 4, the proposed method demonstrates the highest performance for HR measurement.…”

Section: Resultsmentioning

confidence: 99%

“…In Fig. 6 , for sample data in the medium rotation state from the public database PURE, we show the iPPG signal obtained by combining the proposed method and SB-CWT(CbCr), 34 , 35 as well as the PPG signal. It is not difficult to see that the peak positions of the PPG signal and the iPPG signal are almost exactly the same.…”

Section: Resultsmentioning

confidence: 99%

Spatial averaging method based on adaptive weight for imaging photoplethysmography

Ryu,

Liang

et al. 2023

J. Biomed. Opt.

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“… 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 , …”

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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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“…T HE spread of COVID-19 increased in the last few months, and there have been an increasing number of situations wherein non-contact sensors are being employed to remotely detect people with fever and measure their body temperature. Moreover, there is a growing demand for remote vital sign measurement, as evidenced by the widespread use of applications to estimate heart rate [1], [2], respiratory rate [3], [4], and oxygen saturation [5], [6] from facial images captured by in-camera smartphones.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Long-Term Variability of Facial Hue Information in Physiological and Psychological ROIs and Health Condition

Oiwa¹,

Urakami

Lamsal

et al. 2021

IEEE Access

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In this study, we evaluate the relationship between long-term variability of facial hue information in physiological and psychological regions of interests (ROIs) and health condition. Long-term facial hue information, RGB, and L*a*b* color space, were obtained from 13 physiological and psychological ROIs in visible facial images measured for approximately six months. In this study, the evaluation was performed based on four conditions (absolute value of RGB, absolute value of L*a*b*, relative value of RGB, and relative value of L*a*b*). These four long-term variabilities of facial hue information were applied to principal component analysis to clarify the relationship between facial hue information and health condition. The results suggested that long-term variability of chromaticity information around the periorbital region may be related to health conditions. Furthermore, physiological and psychological states related to health condition were estimated with the accuracy of approximately 80% using relative chromaticity information around the periorbital region.

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A measurement of illumination variation-resistant noncontact heart rate based on the combination of singular spectrum analysis and sub-band method

Cited by 13 publications

References 31 publications

Spatial averaging method based on adaptive weight for imaging photoplethysmography

Spatial averaging method based on adaptive weight for imaging photoplethysmography

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

Relationship Between Long-Term Variability of Facial Hue Information in Physiological and Psychological ROIs and Health Condition

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