Integration of the Methods of System Analysis and Cognitive Graphics in the Early Diagnosis of Vision Pathology

• Published in: Pattern recognition and image analysis Vol. 33; no. 3; pp. 282 - 291
• Main Authors: Eremeev, A. P., Kolosov, O. S., Zueva, M. V., Tsapenko, I. V.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.09.2023; Springer Nature B.V
• Subjects: Artificial intelligence; Complex systems; Computer Science; Decision support systems; Diagnosis; Electroretinography; Eye diseases; Fourier series; Fuzzy logic; Graphical representations; Image Processing and Computer Vision; Medical research; Pattern Recognition; Production methods; Research facilities; Retina; Selected Conference Papers; Series expansion; Spectrum analysis; Systems analysis; Vision; diagnosis; complex system; artificial intelligence; cognitive graphics; vision pathology
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661823030100

The paper considers the possibilities of computerization of early diagnosis of complex vision pathologies by an example of retinal diseases. Source data for the intelligent analysis are given by electroretinography (ERG) data, which are processed by complex system analysis methods (Fourier series expansion, spectral analysis, and analysis of the amplitude and phase frequency responses of the retina in different test conditions), artificial intelligence methods (fuzzy logic and production rules formed on the basis of expert knowledge of physiologists), and methods of cognitive graphics for the graphical representation of the retina state. The work is carried out by specialists at the National Research University MPEI and the Helmholtz National Medical Research Center of Eye Diseases through the development of intelligent decision support systems (IDSSs) for early diagnosis of pathologies.