  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.
