Nikolaienko A. Information technology for prediction of human thermophysiological state during physical activity in different environments

The thesis is concerned with the development of information technology for the prediction of human thermophysiological state. The information technology is based on the developed complex of mathematical models for thermoregulation, which allows multiparametric assessment of human functional state during a physical activity in different air and water environments taking into account impact of clothes and protective clothing. The developed complex of mathematical models is characterized by a combination of different initial and current conditions and takes into account the intensity and type of physical activity, air and water environments, an adaptation level, characteristics of clothes and protective clothing. The features of this complex allow to evaluate the impact of combined action of various factors on the human. The developed information technology for prediction of human thermophysiological state in different environments provides recommendation regarding the human safety under given conditions. The information technology helps to find the most suitable environmental conditions in order to achieve highest performance results under rigorous physical activity. Furthermore, the technology allows to identify hazard to human functional state: hyperthermia, dehydration or hypothermia, and test the impact of clothes/protective clothing on human heat exchange with environment.