Open AccessAnalytical complex for study of the oxygen status of tissues of the human organism
Author(s) -
Mariia Mazing,
Anna Zaitceva,
Yu. Ya. Kislyakov,
В. В. Давыдов,
Nikita S. Kondakov,
S A Avdyushenko
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1695/1/012065
Subject(s) - computer science , organism , artificial intelligence , pattern recognition (psychology) , training set , machine learning , data mining , biology , paleontology
An automated complex for the study of the oxygen status of human body tissues using an artificial trained analytical system is presented. It includes sensory, electronic and computer modules for measuring and analyzing data. System training is implemented according to the principle of dividing the subjects into groups using mathematical methods of data processing and comparing them with data on the degree of adaptive responses obtained in the course of independent biomedical research. After analytical system training, subsequent recognition of the “image” of the test subject and its assignment to one or another group of the type of reaction to the functional load was possible.