| Issue |
E3S Web Conf.
Volume 210, 2020
Innovative Technologies in Science and Education (ITSE-2020)
|
|
|---|---|---|
| Article Number | 17005 | |
| Number of page(s) | 7 | |
| Section | Social Determinants and Health Behaviors | |
| DOI | https://doi.org/10.1051/e3sconf/202021017005 | |
| Published online | 04 December 2020 | |
Application of multidimensional scaling method for analysis of EEG features in patients with dyscirculatory encephalopathy
1 Don State Technical University, Gagarina sq., 1, Rostov-on-Don, 344003, Russia
2 Rostov State Medical University, Nahichevansky av., 29, Rostov-on-Don, 344022, Russia
* Corresponding author: leramoroz@mail.ru
The object of our work is to test the possibility of using the method of multidimensional scaling to identify the features of EEG in order to classify subjects in patients with dyscirculatory encephalopathy and healthy people by establishing differences in the graphs of the dynamics of the location of vectors in the multidimensional coordinate space. For healthy subjects, in almost all tests, there is a coincidence or close location of the spatial coordinates of the multidimensional scaling. For patients with dyscirculatory encephalopathy, there is no marked coincidence of coordinates; however, in some cases it is possible to group the data into local areas according to individual tests. The use of the method of multidimensional scaling in the diagnosis of dyscirculatory encephalopathy allows the analysis of the patient's condition, makes it possible to identify the degree of the disease
© The Authors, published by EDP Sciences, 2020
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