Results 161 to 170 of about 2,649 (198)
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LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams
Biomedical Signal Processing and ControlMurugappan M +2 more
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Physiological Information Preserving Video Compression for rPPG
IEEE Journal of Biomedical and Health InformaticsRemote photoplethysmography (rPPG) has recently attracted much attention due to its non-contact measurement convenience and great potential in health care and computer vision applications. Early rPPG studies were mostly developed on self-collected uncompressed video data, which limited their application in scenarios that require long-distance real-time
Caifeng Shan
exaly +3 more sources
Physiological Imaging using rPPG: Glabrous and Non-glabrous Skin
Latin America Optics and Photonics (LAOP) Conference 2022, 2022Little is known about differences in the photoplethysmogram (PPG) across glabrous and non-glabrous skin, which is crucial given emerging PPG modalities. Using remote PPG in four subjects, we detected changes in amplitude and temporal lag.
Timothy Burton +2 more
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ConDiff-rPPG: Robust Remote Physiological Measurement to Heterogeneous Occlusions
IEEE Journal of Biomedical and Health InformaticsRemote photoplethysmography (rPPG) is a contactless technique that facilitates the measurement of physiological signals and cardiac activities through facial video recordings. This approach holds tremendous potential for various applications. However, existing rPPG methods often did not account for different types of occlusions that commonly occur in ...
Hao Lu, Dengbo He, Jiyao Wang
exaly +3 more sources
Remote Photoplethysmography (rPPG): A State-of-the-Art Review
2023Peripheral oxygen saturation (SpO2) and heart rate (HR) are critical physiological measures that clinicians need to observe to decide on an emergency intervention. These measures are typically determined using a contact-based pulse oximeter. This approach may pose difficulties in many cases, such as with young children, patients with burnt or sensitive
Pireh Pirzada +3 more
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Continuous Pulse Rate Monitoring from Facial Video Using rPPG
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020Cardiovascular activity causes some imperceptible changes in different regions of human body. These changes set the stage for isolated systolic hypertension, diastolic dysfunction and heart failure, atrioventricular conduction defects and aorta valve calcification.
Kokila Bharti Jaiswal, T. Meenpal
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rPPG-MAE: Self-Supervised Pretraining With Masked Autoencoders for Remote Physiological Measurements
IEEE Transactions on MultimediaRemote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on supervised methods that rely on large amounts of labeled data. These methods are limited by the requirement for large amounts of data and the difficulty of acquiring ground ...
Zitong Yu, Hao Lu, Huanjing Yue
exaly +4 more sources
Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering
Biomedical Signal Processing and ControlIn order to increase the accuracy of traditional methods for camera-based pulse rate estimation, we propose a novel systemic approach that extracts multiple remote photoplethysmography (rPPG) signals from a set of scattered facial patches and effectively separates good estimates from noisy ones via a novel unsupervised Power Spectral Density (PSD ...
Giuseppe Boccignone +2 more
exaly +4 more sources
Remote photoplethysmography (rPPG) based learning fatigue detection
Applied Intelligence, 2023Liang Zhao +7 more
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Non-Contact Vital Prediction Using rPPG Signals
2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023Meghna Madhu +4 more
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