Towards Detection of Perfusion Disorders Using Remote Photoplethysmography

This paper presents a novel approach to noninvasively assess different levels of perfusion using remote photoplethysmography (rPPG) from an RGB camera. In a proof-of-concept study involving 20 healthy participants, three degrees of stenosis were induced in the upper extremity by applying external pressure. The rPPG signal from the affected arm was correlated with a reference signal from the well-perfused control arm. The results show that correlation analysis of rPPG signals can distinguish between mild, moderate, and full stenosis. This supports the potential of rPPG as a cost-effective tool for detecting perfusion disorders such as peripheral artery disease (PAD).