Abstract
A purposeful transformation of periodic time dependencies resulting from retinographic studies of retinal pathologies was carried out in order to study their frequency properties. Such a study is intended to expand the space of formalized signs of pathologies that can be used in diagnostic systems based on artificial intelligence methods. A technique has been developed for constructing the amplitude-frequency characteristics of the retina, taking into account the mathematical description of impulse test stimuli. A procedure has been proposed for a polynomial approximation of the frequency response of the retina, which allows the coefficients of approximating polynomials to be used as new formalized signs in diagnostics. It is shown that for complex retinal pathologies, it is advisable to take into account not only its amplitude-frequency characteristics under different stimulation conditions but also its phase-frequency characteristics by analyzing retinal hodographs on the complex plane. When searching for additional formalized signs of retinal pathologies, it is proposed to use a new generalized frequency response of the retinal hodograph, which facilitates the search and formalization of additional signs of pathologies.
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The work was supported by RFBR projects17-07-00553, 18-01-00201, 18-51-00007, 18-29-03088, 19-01-00143.
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Eremeev, A.P., Ivliev, S.A., Kolosov, O.S., Korolenkova, V.A., Pronin, A.D., Titova, O.D. (2020). Creating Spaces of Temporary Features for the Task of Diagnosing Complex Pathologies of Vision. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Intelligent Systems, Computer Science and Digital Economics. CSDEIS 2019. Advances in Intelligent Systems and Computing, vol 1127. Springer, Cham. https://doi.org/10.1007/978-3-030-39216-1_18
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