Multisensory Learning System for Non-Invasive Determination of the Functional State of the Body in Extreme Conditions

Abstract

The project is implementing a new principle of non-invasive diagnostics and biomedical research using an artificial, multi-sensory, trained analytical system to monitor the professional fitness of military personnel in terms of exhaled air condensate, in which significant metabolic products are present. The results of the studies show that the subjects are divided into groups of different adaptability and sensitivity to extreme conditions. The proposed method based on the multi-sensory trained diagnostic system allows non-invasive instrumental control and selection of spe- cialists for their functioning in extreme conditions of high mountains.