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AND-rPPG: A novel denoising-rPPG network for improving remote heart rate estimation
Computers in Biology and Medicine, 2022Heart rate (HR) estimation is an essential physiological parameter in the field of biomedical imaging. Remote Photoplethysmography (r-PPG) is a pathbreaking development in this field wherein the PPG signal is extracted from non-contact face videos. In the COVID-19 pandemic, rPPG plays a vital role for doctors and patients to perform telehealthcare ...
Birla Lokendra, Gupta Puneet
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Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020
Remote photoplethysmography (rPPG) is a contactless method for heart rate (HR) estimation from face videos. In this paper, we propose to estimate rPPG signals directly from input video sequences in an end-to-end manner. We propose a novel Siamese-rPPG network to simultaneously learn the heterogeneous and homogeneous features from two facial regions ...
Yun-Yun Tsou +3 more
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Remote photoplethysmography (rPPG) is a contactless method for heart rate (HR) estimation from face videos. In this paper, we propose to estimate rPPG signals directly from input video sequences in an end-to-end manner. We propose a novel Siamese-rPPG network to simultaneously learn the heterogeneous and homogeneous features from two facial regions ...
Yun-Yun Tsou +3 more
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Robust Pulse Rate From Chrominance-Based rPPG
IEEE Transactions on Biomedical Engineering, 2013Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success.
Haan, de, G., Jeanne, V.
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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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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
Jieying Wang +4 more
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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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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 ...
Jiyao Wang +4 more
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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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