Remote photoplethysmography for heart rate measurement: A review

H **ao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

[HTML][HTML] Deep learning methods for remote heart rate measurement: A review and future research agenda

CH Cheng, KL Wong, JW Chin, TT Chan, RHY So - Sensors, 2021 - mdpi.com
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …

Physformer: Facial video-based physiological measurement with temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement

X Liu, B Hill, Z Jiang, S Patel… - Proceedings of the …, 2023 - openaccess.thecvf.com
Camera-based physiological measurement is a growing field with neural models providing
state-of-the-art performance. Prior research has explored various end-to-end architectures; …

Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao, Y Cui, J Zhang… - International Journal of …, 2023 - Springer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Non-contrastive unsupervised learning of physiological signals from video

J Speth, N Vance, P Flynn… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Subtle periodic signals such as blood volume pulse and respiration can be extracted from
RGB video, enabling noncontact health monitoring at low cost. Advancements in remote …

Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation

X Niu, S Shan, H Han, X Chen - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Heart rate (HR) is an important physiological signal that reflects the physical and emotional
status of a person. Traditional HR measurements usually rely on contact monitors, which …

Contrast-phys: Unsupervised video-based remote physiological measurement via spatiotemporal contrast

Z Sun, X Li - European Conference on Computer Vision, 2022 - Springer
Video-based remote physiological measurement utilizes face videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …

FM-FCN: a neural network with filtering modules for accurate vital signs extraction

F Zhu, Q Niu, X Li, Q Zhao, H Su, J Shuai - Research, 2024 - spj.science.org
Neural networks excel at capturing local spatial patterns through convolutional modules, but
they may struggle to identify and effectively utilize the morphological and amplitude periodic …

JAMSNet: A remote pulse extraction network based on joint attention and multi-scale fusion

C Zhao, H Wang, H Chen, W Shi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) has been an active research topic in recent years.
While most existing methods are focusing on eliminating motion artifacts in the raw traces …