Development of a Method for Assessing of the Oxygen Supply of Tissues Based on a Multi-channel Spectrum Analyzer

Mazing, M S; Zaitceva, Anna; Kislyakov, Yuriy

doi:10.1007/978-3-030-58868-7_26

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2023

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Application of the Kohonen neural network for monitoring tissue oxygen supply under hypoxic conditions

Mazing

Zaitceva

Davydov

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The article presents the results of application of the Kohonen artificial neural network (KANN) in assessing the oxygen status of human tissues, as well as for studying the adaptive-compensatory response of the body to functional load. In the experiment, the registered digital oxygen images of the tissue of 31 subjects were distributed into three classes using the KANN. Each group is characterised by different resistance of the organism to hypoxia. The research results have shown the effectiveness of using an artificial neural network structure and the possibility of its implementation for recognition of the functional state of a person under conditions of metabolic hypoxia; it seems relevant and has theoretical and practical significance in the framework of ecological physiology.

show abstract