Continuous monitoring of vital signs using cameras: A systematic review
In recent years, noncontact measurements of vital signs using cameras received a great
amount of interest. However, some questions are unanswered:(i) Which vital sign is …
amount of interest. However, some questions are unanswered:(i) Which vital sign is …
Camera measurement of physiological vital signs
D McDuff - ACM Computing Surveys, 2023 - dl.acm.org
The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …
measurement of vital signs leverages imaging devices to compute physiological changes by …
Dual-gan: Joint bvp and noise modeling for remote physiological measurement
Remote photoplethysmography (rPPG) based physiological measurement has great
application values in health monitoring, emotion analysis, etc. Existing methods mainly focus …
application values in health monitoring, emotion analysis, etc. Existing methods mainly focus …
Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation
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 …
status of a person. Traditional HR measurements usually rely on contact monitors, which …
Video-based remote physiological measurement via cross-verified feature disentangling
Remote physiological measurements, eg, remote photoplethysmography (rPPG) based
heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are …
heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are …
The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost,
pre-clinical health monitoring. In this work we propose a new approach to remote …
pre-clinical health monitoring. In this work we propose a new approach to remote …
Ubfc-phys: A multimodal database for psychophysiological studies of social stress
RM Sabour, Y Benezeth, P De Oliveira… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
As humans, we experience social stress in countless everyday-life situations. Giving a
speech in front of an audience, passing a job interview, and similar experiences all lead us …
speech in front of an audience, passing a job interview, and similar experiences all lead us …
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 …
Non-contrastive unsupervised learning of physiological signals from video
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 …
RGB video, enabling noncontact health monitoring at low cost. Advancements in remote …
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 …