Results 21 to 30 of about 6,571 (182)
Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring
Biosensors, 2021 Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change in light transmission with changes in blood volume within tissue to provide information for cardiovascular health and fitness.
Jesse Fine +7 more
doaj +3 more sources
Remote photoplethysmography for health assessment: a review informed by IntelliProve technology [PDF]
Frontiers in Digital HealthBackgroundRemote photoplethysmography (rPPG) is a non-invasive method that accurately measures clinical biomarkers, including heart rate, respiration rate, heart rate variability, blood pressure and oxygen saturation.
Alora Brown +4 more
doaj +2 more sources
Unsupervised skin tissue segmentation for remote photoplethysmography [PDF]
Pattern Recognition Letters, 2019 Abstract Segmentation is a critical step for many algorithms, especially for remote photoplethysmography (rPPG) applications as only the skin surface provides information. Moreover, it has been shown that the rPPG signal is not distributed homogeneously across the skin.
Bobbia, Serge +4 more
openaire +4 more sources
Advancements in Remote Photoplethysmography
ElectronicsAdvancements in camera technology over the past two decades have made image-based monitoring increasingly accessible for healthcare applications. Imaging photoplethysmography (iPPG) and remote photoplethysmography (rPPG) are non-invasive methods for measuring vital signs, such as heart rate, respiratory rate, oxygen saturation, and blood pressure ...
Saikevičius, Linas +3 more
openaire +3 more sources
Motion robust remote photoplethysmography in CIELab color space. [PDF]
J Biomed Opt, 2016 Remote photoplethysmography (rPPG) is attractive for tracking a subject’s physiological parameters without wearing a device. However, rPPG is known to be prone to body movement-induced artifacts, making it unreliable in realistic situations. Here we report a method to minimize the movement-induced artifacts.
Yang Y +5 more
europepmc +4 more sources
Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints [PDF]
BioMedical Engineering OnLine, 2018 Background Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contact ...
Richard Macwan +2 more
doaj +2 more sources
Sensors, 2023 The respiration rate (RR) is one of the physiological signals deserving monitoring for assessing human health and emotional states. However, traditional devices, such as the respiration belt to be worn around the chest, are not always a feasible solution
Giuseppe Boccignone +4 more
doaj +3 more sources
Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring [PDF]
SensorsNon-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light intensity
Rinaldi Anwar Buyung +2 more
doaj +2 more sources
GRGB rPPG: An Efficient Low-Complexity Remote Photoplethysmography-Based Algorithm for Heart Rate Estimation. [PDF]
Bioengineering (Basel), 2023 Haugg F, Elgendi M, Menon C.
europepmc +2 more sources
Remote Photoplethysmography: Rarely Considered Factors [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 Remote Photoplethysmography (rPPG) is a fast-growing technique of vital sign estimation by analyzing video of a person. Several major phenomena affecting rPPG signals have been studied (e.g. video compression, distance from person to camera, skin tone, head motions).
Mironenko, Yuriy +3 more
openaire +2 more sources