Noise-Resistant Area Integration Pulse Oximetry

An area integration method of pulse oximetry algorithm is described here suited to oxygen saturation estimation for both low perfusion and movement pulse wave. We remove the base line drift of pulse wave, and integrate the pulse wave of red and infrared separately to remove the noise. It is proven that the ratio of the area is equal to the ratio ac part of pulse wave. We can estimate the SpO2 accurately by this algorithm, and the result of the SpO2 estimation is compared with a golden standard blood gas analysis method