High-Reliability Non-contact Photoplethysmography Imaging for Newborn Care by A Generative Artificial Intelligence
نویسندگان
چکیده
Long-term wiring on a newborn patient could be disguise scene for parents. Unobtrusive and reliable monitoring without can euphoric alternative newborns parents in obstetrics gynecology (OB/GYN) incubation rooms. However, continuous non-contact surveillance an room is challenging. Therefore, novel photoplethysmography imaging (PPGi) developed specifically baby skins through predictive adversarial adaptation risk-sensitive generative synchronizer. Our artificial intelligence approach does not take blind guesses from input-output pairs. We apply intelligent step to decouple the influence of fluctuated illumination algorithm intelligence. To boost skin detection performance, we capture those pixels with periodic variations maximize coherence extraction by The are matched synthesized pulse output PPGi signals control filter over-compensate illuminate variation. Based sensed pulsation, synthesize corresponding pulsation flight identify living spatiotemporal image sequence. find that our classifier synchronizer effectively improves quality resulting signal. produces substantial accuracy performance reconstruction critical environment care. In limited illustration room, still achieve average 96.62%.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3307637