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

Authors

  • A. Yu. Zaitceva

Keywords:

multisensory system; optical sensor; oxygen status of tissues; principal component analysis, express diagnostics, neural networks, artificial intelligence

Abstract

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.

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Published

2022-01-30

Issue

Section

Articles

How to Cite

Sensor Intelligent Systems for Monitoring the Oxygen Status of Human Tissues Under Functional Loads. (2022). Journal of Pharmaceutical Negative Results, 13(1), 6-13. https://pnrjournal.com/index.php/home/article/view/183