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

Autor:	M S Mazing, A Y Zaitceva, R V Davydov
Rok vydání:	2021
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2086:012116
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2086/1/012116
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::673941bc286eba0f7798fdd37887c022 https://doi.org/10.1088/1742-6596/2086/1/012116 Zobrazit plný text záznamu