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Automated oscillatory potential detection and parameter extraction in the electroretinogram

The oscillatory potentials (OPs) of the electroretinogram (ERG) have long been used to study the progression of a number of retinal disorders. The OP parameters used in these studies are difficult to evaluate directly from the unconditioned ERG signal. Automated OP detection software was developed in MATLAB to extract the OP wavelets, identify peaks, and extract parameters of interest including the implicit time and amplitude of each OP along with the noise-adjusted RMS value of the entire OP signal. The cutoff frequency for OP filtering was determined adaptively for each record based on the characteristics of the Discrete Fourier Transform of the ERG. Preliminary testing of the software was conducted using mouse data.