Sensor Intelligent Systems for Monitoring the Oxygen Status of Human Tissues Under Functional Loads

A diagnostic complex for analyzing the oxygen status of human tissues is presented, consisting of two modules: optical-electronic and computational-information. The optoelectronic module is a multichannel sensor integrated optical analyzer that analyzes spectra. The information-computing module carries out general management and display of the results obtained. The module includes a mathematical model of statistical algorithms for processing and analyzing multidimensional data using machine learning technologies, pattern recognition and visualization. A cluster analysis of the results of measurements made by the diagnostic system was carried out using the method of principal components, which confirms the tendency of the data on the subjects to be grouped. The results obtained allow us to recommend the developed non-invasive optical sensor system as an automated system for express diagnostics of oxygen supply to human tissues.