Performance evaluation of blood pressure estimation using an RGB-NIR camera

In this study, we evaluated the performance of blood pressure estimation using an RGB-NIR camera. While non- contact blood pressure measurement methods using RGB images are available, they prove ineffective under low-light conditions. In addition, Visible light penetrates only the skin’s capillaries, failing to reach deeper vessels like arteries. In contrast, near-infrared (NIR) light penetrates deeper into the skin, reaching the arterial layer. By integrating visible and NIR light, we can capture information from both capillaries and arteries. This research proposes a method that combines visible and NIR light to improve blood pressure measurement accuracy. The performance of this combined approach was compared with methods that rely solely on either visible or NIR light. For our experiments, an RGB-NIR camera, capable of simultaneously capturing both RGB and NIR video images, was utilized.