Video-based remote photoplethysmography (rPPG) has emerged as a promising
technology for non-contact vital sign monitoring, especially under controlled
conditions. However, the accurate measurement of vital signs in real-world
scenarios faces several challenges, including artifacts induced by videocodecs,
low-light noise, degradation, low dynamic range, occlusions, and hardware and
network constraints. In this article, we systematically investigate
comprehensive investigate these issues, measuring their detrimental effects on
the quality of rPPG measurements. Additionally, we propose practical strategies
for mitigating these challenges to improve the dependability and resilience of
video-based rPPG systems. We detail methods for effective biosignal recovery in
the presence of network limitations and present denoising and inpainting
techniques aimed at preserving video frame integrity. Through extensive
evaluations and direct comparisons, we demonstrate the effectiveness of the
approaches in enhancing rPPG measurements under challenging environments,
contributing to the development of more reliable and effective remote vital
sign monitoring technologies.

通过系统调查和详细比较，我们证明了在具有挑战性的环境下提高远程视频脉搏波图 (rPPG) 测量的方法的有效性，从而为更可靠和有效的远程生命体征监测技术的发展做出了贡献。