Unlabelled: The clinical sugnificance of electroretinogram interpretation depends heavily on the employed mathematical apparatus. Currently, conventional calculation of the amplitude and time parameters of electroretinogram (ERG) components and their relations (indices), as well as analysis of the frequency spectrum of the signal are becoming insufficient for interpretation of the obtained data. New approaches to diagnostics are currently being developed, using, among other things, expert systems, and neural network and simulation models.
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