VISUALIZATION AND COGNITIVE GRAPHICS IN SCIENTIFIC RESEARCH

Abstract

The aim of the research is to apply methods of structural analysis of multidimensional data
using different approaches to visualizing the results of experimental studies. To solve applied
1607
problems, the authors used NovoSparkVisualizer (demo) system, as well as the R scripting
language.
The leading approach to the study of this problem is the mapping of multidimensional
experimental data in the form of generalized graphic images on the basis of original methods
and approaches developed by the authors.
The paper presents the results of solving two applied problems illustrating the effectiveness
of the method for visualization of multidimensional experimental data:
1) analysis of the dynamics of the physiological state of pregnant women;
2) study of breathing parameters in patients with bronchial asthma.
In the first case, the use of cognitive graphics tools made it possible to propose an effective
way of displaying the dynamics of the state of the bio-object (for example, comparing the
patient's condition before and after treatment). In the second case, it helped to reveal some
previously unknown patterns of physiological response of the bronchial-pulmonary system to
psycho-physiological exposure.
The results of the research allow the authors to state that the methods and approaches
presented in the paper can be regarded as promising directions in the analysis and
presentation of multidimensional experimental data.