Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
Incorporating physics into data-driven computer vision
Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …
Although images are formed through the physics of light and mechanics, computer vision …
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 …
rppg-toolbox: Deep remote ppg toolbox
Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …
Dual-bridging with adversarial noise generation for domain adaptive rppg estimation
The remote photoplethysmography (rPPG) technique can estimate pulse-related metrics (eg
heart rate and respiratory rate) from facial videos and has a high potential for health …
heart rate and respiratory rate) from facial videos and has a high potential for health …
Contrast-phys+: Unsupervised and weakly-supervised video-based remote physiological measurement via spatiotemporal contrast
Video-based remote physiological measurement utilizes facial videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …
volume change signal, which is also called remote photoplethysmography (rPPG) …
Synthetic data in healthcare
Synthetic data are becoming a critical tool for building artificially intelligent systems.
Simulators provide a way of generating data systematically and at scale. These data can …
Simulators provide a way of generating data systematically and at scale. These data can …
Dual-path tokenlearner for remote photoplethysmography-based physiological measurement with facial videos
Remote photoplethysmography (rPPG)-based physiological measurement is an emerging
yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from …
yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from …
Full-body cardiovascular sensing with remote photoplethysmography
Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume
changes from a camera by detecting minor fluctuations in reflected light. Prior applications of …
changes from a camera by detecting minor fluctuations in reflected light. Prior applications of …
[PDF][PDF] Blending camera and 77 GHz radar sensing for equitable, robust plethysmography.
Remote estimation of vital signs has gained growing relevance in recent years. The COVID-
19 pandemic has further emphasized the need for rapid and reliable monitoring of health …
19 pandemic has further emphasized the need for rapid and reliable monitoring of health …