RESUMEN
Perfusion index (PI), the ratio between variable pulsatile (AC) and non-pulsatile (DC) components in a photoplethysmographic (PPG) signal, is an indirect and non-invasive measure of peripheral perfusion. PI has been widely used in assessing sympathetic block success, and monitoring hemodynamics in anesthesia and intensive care. Based on the principle of dual-wavelength depolarization (DWD) of skin tissues, we propose to investigate its opportunity in quantifying the skin perfusion contactlessly. The proposed method exploits the characteristic changes in chromaticity caused by skin depolarization and chromophore absorption. The experimental results of DWD, obtained with the post occlusive reactive hyperemia test and the local cooling and heating test, were compared to the PI values obtained from the patient monitor and photoplethysmography imaging (PPGI). The comparison demonstrated the feasibility of using DWD for PI measurement. Clinical trials conducted in the anesthesia recovery room and operating theatre further showed that DWD is potentially a new metric for camera-based non-contact skin perfusion monitoring during clinical operations, such as the guidance in anesthetic surgery.
RESUMEN
Camera-based photoplethysmographic imaging enabled the segmentation of living-skin tissues in a video, but it has inherent limitations to be used in real-life applications such as video health monitoring and face anti-spoofing. Inspired by the use of polarization for improving vital signs monitoring (i.e. specular reflection removal), we observed that skin tissues have an attractive property of wavelength-dependent depolarization due to its multi-layer structure containing different absorbing chromophores, i.e. polarized light photons with longer wavelengths (R) have deeper skin penetrability and thus experience thorougher depolarization than those with shorter wavelengths (G and B). Thus we proposed a novel dual-polarization setup and an elegant algorithm (named "MSD") that exploits the nature of multispectral depolarization of skin tissues to detect living-skin pixels, which only requires two images sampled at the parallel and cross polarizations to estimate the characteristic chromaticity changes (R/G) caused by tissue depolarization. Our proposal was verified in both the laboratory and hospital settings (ICU and NICU) focused on anti-spoofing and patient skin segmentation. The clinical experiments in ICU also indicate the potential of MSD for skin perfusion analysis, which may lead to a new diagnostic imaging approach in the future.