[HTML][HTML] Deep learning methods for remote heart rate measurement: A review and future research agenda
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 …
the human body. While traditional HR monitors usually require contact with skin, remote …
[HTML][HTML] A review of deep learning-based contactless heart rate measurement methods
The interest in contactless or remote heart rate measurement has been steadily growing in
healthcare and sports applications. Contactless methods involve the utilization of a video …
healthcare and sports applications. Contactless methods involve the utilization of a video …
Neuron structure modeling for generalizable remote physiological measurement
Remote photoplethysmography (rPPG) technology has drawn increasing attention in recent
years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications …
years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications …
PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography
Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac
signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many …
signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many …
Multi-task temporal shift attention networks for on-device contactless vitals measurement
Telehealth and remote health monitoring have become increasingly important during the
SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on …
SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on …
Facial video-based remote physiological measurement via self-supervised learning
Facial video-based remote physiological measurement aims to estimate remote
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
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 …
significantly illuminating an individual's state of physical health. Distinguished from …
CNN-LSTM for automatic emotion recognition using contactless photoplythesmographic signals
W Mellouk, W Handouzi - Biomedical Signal Processing and Control, 2023 - Elsevier
Numerous researchers in the field of automatic human emotion recognition have shown that
physiological responses in humans are influenced by emotional changes. According to …
physiological responses in humans are influenced by emotional changes. According to …
Self-supervised rgb-nir fusion video vision transformer framework for rppg estimation
Remote photoplethysmography (rPPG) is a technology that can estimate noncontact heart
rate (HR) using facial videos. Estimating rPPG signals requires low cost, and thus, it is …
rate (HR) using facial videos. Estimating rPPG signals requires low cost, and thus, it is …
A neonatal dataset and benchmark for non-contact neonatal heart rate monitoring based on spatio-temporal neural networks
The digital revolution of noncontact physiological signal monitoring in clinical and home
health care is underway, and deep learning techniques are incredibly popular. Camera …
health care is underway, and deep learning techniques are incredibly popular. Camera …