PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening From Facial Videos
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3220656
Abstract: Video-based Photoplethysmography (VPPG) can identify arrhythmic pulses during atrial fibrillation (AF) from facial videos, providing a convenient and cost-effective way to screen for occult AF. However, facial motions in videos always distort VPPG pulse signals… read more here.
Keywords: pfdnet; pulse signals; vppg pulse; pulse feature ... See more keywords
Privacy-Phys: Facial Video-Based Physiological Modification for Privacy Protection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3185964
Abstract: The invisible remote photoplethysmography (rPPG) signals in facial videos can reveal the cardiac rhythm and physiological status. Recent studies show that rPPG is a non-contact way for emotion recognition, disease detection, and biometric identification, which… read more here.
Keywords: rppg; privacy phys; privacy; privacy protection ... See more keywords
Detail-preserving pulse wave extraction from facial videos using consumer-level camera.
Sign Up to like & getrecommendations! Published in 2020 at "Biomedical optics express"
DOI: 10.1364/boe.380646
Abstract: With the popularity of smart phones, non-contact video-based vital sign monitoring using a camera has gained increased attention over recent years. Especially, imaging photoplethysmography (IPPG), a technique for extracting pulse waves from videos, conduces to… read more here.
Keywords: pulse wave; wave; facial videos; rate ... See more keywords