Optical signal performance is strongly influenced by how light interacts with skin and tissue. Variations in skin tone can significantly affect signal strength and reliability, particularly for red wavelengths used in oxygen saturation measurement.
OPM applies AI-powered adaptive illumination, using spectral analysis to optimise optical output in real time across skin tones. By continuously adjusting illumination characteristics, the system maintains consistent signal quality across wavelengths, supporting reliable SpO₂ measurement and physiological monitoring in diverse users and real-world clinical conditions. This adaptive approach reduces bias, compensates for optical variability, and enables consistent performance across conditions, activity levels, and clinical monitoring scenarios.