Evaluation of the Frequency Properties of the Dynamic Objects Using Pulse Testing Signals

Kolosov, O. S.; Balarev, D. A.; Pronin, A. D.; Mv, Zueva; Цапенко, И. В.

doi:10.17587/mau.18.219-226

Cited by 3 publications

(1 citation statement)

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“…by dividing the amplitudes of the harmonics of the spectra Z(f) by the corresponding amplitudes of the harmonics of the input signals, by [5], eliminates this undesirable effect [6,7]. It should be noted that in the analyzed spectra the permissible upper limit of the harmonic frequencies under consideration narrows to 120-150 Hz due to the influence of the spectrum of the noise component of the FERG on the frequency response in the vicinity of the critical frequency 200 Hz.…”

Section: Spectrum Ferg (Z(f)) and Retinal Afcmentioning

confidence: 99%

Assessment of the Amplitude-Frequency Characteristics of the Retina with Its Stimulation by Flicker and Chess Pattern-Reversed Incentives and their Use to Obtain New Formalized Signs of Retinal Pathologies

Mv¹,

Tsapenko

Os³

et al. 2019

BJSTR

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Currently, an active search for new approaches to building expert systems for diagnosing retinal pathologies based on artificial intelligence methods (fuzzy logic methods, neural network approaches, modern classification methods, simulation models) is underway. The effectiveness of such expert systems depends entirely on the completeness of the available space of diagnostic features. The classical calculation of the amplitude and time parameters of the components of an electroretinogram (ERG) and their relations (indices), as well as the analysis of the frequency spectrum of the signal, becomes insufficient for interpreting the data obtained in the developed expert systems.

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Section: Spectrum Ferg (Z(f)) and Retinal Afcmentioning

confidence: 99%