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 …

Remote photoplethysmography for heart rate measurement: A review

H Xiao, 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 …

Synrhythm: Learning a deep heart rate estimator from general to specific

X Niu, H Han, S Shan, X Chen - 2018 24th international …, 2018 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) based noncontact heart rate (HR) measurement from
a face video has drawn increasing attention recently because of its potential applications in …

HeartTrack: Convolutional neural network for remote video-based heart rate monitoring

O Perepelkina, M Artemyev… - Proceedings of the …, 2020 - openaccess.thecvf.com
Detection and continuous monitoring of heart rate can help us identify clinical relevance of
some cardiac symptoms. Over the last decade, a lot of attention has been paid to the …

Assessment of deep learning-based heart rate estimation using remote photoplethysmography under different illuminations

Z Yang, H Wang, F Lu - IEEE Transactions on Human-Machine …, 2022 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) monitors heart rate (HR) without requiring physical
contact, which has applications. Deep learning based rPPG has demonstrated superior …

Autohr: A strong end-to-end baseline for remote heart rate measurement with neural searching

Z Yu, X Li, X Niu, J Shi, G Zhao - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any
contact, has great potential in many applications (eg, remote healthcare). Existing end-to …

Real-time webcam heart-rate and variability estimation with clean ground truth for evaluation

A Gudi, M Bittner, J Van Gemert - Applied Sciences, 2020 - mdpi.com
Featured Application Contactless pervasive health monitoring incl. cognitive stress analysis.
Abstract Remote photo-plethysmography (rPPG) uses a camera to estimate a person's heart …

rppg-toolbox: Deep remote ppg toolbox

X Liu, G Narayanswamy, A Paruchuri… - Advances in …, 2024 - proceedings.neurips.cc
Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …

Meta-rppg: Remote heart rate estimation using a transductive meta-learner

E Lee, E Chen, CY Lee - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
Remote heart rate estimation is the measurement of heart rate without any physical contact
with the subject and is accomplished using remote photoplethysmography (rPPG) in this …

The first vision for vitals (v4v) challenge for non-contact video-based physiological estimation

A Revanur, Z Li, UA Ciftci, L Yin… - Proceedings of the …, 2021 - openaccess.thecvf.com
Telehealth has the potential to offset the high demand for help during public health
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …