The necessity of monitoring the oxygen status of human tissues to detect various diseases at different stages is substantiated. A noninvasive intelligent blood filling control complex for lower limb ischemia using a multisensory system based on optical sensors and machine learning methods is presented. The results are presented, indicating the possibility of automated detection of deviations from the norm of the parameters of blood filling of the extremities.