Application of multidimensional statistical analysis methods in optical biomedical diagnostics

A new methodological approach has been developed for constructing multifunctional biomedical diagnostic devices for assessing the critical state of the human body, the state of shock. A wearable hardware-software complex for medical monitoring of the functional state of the human cardiovascular system based on optical-electronic sensors and analysis of the resulting multidimensional array of heterogeneous physiological data using methods of multidimensional statistical analysis and machine learning was investigated. The relationships between the spectral response of biological tissues and the functional state of a person, in particular the state of shock, are mathematically substantiated.