Timing of changes in the entropy of the electroretinogram with Glaucoma

Abstract

The photopic negative response (PhNR) component of the electroretinogram (ERG) is caused by loss of ganglion cells in the retina and can be used for the assessment of glaucoma. The purpose of this study was to use information theory techniques to explore subtle timing changes in the electroretinogram in glaucoma patients. The entropy of ERG signals were calculated within a sliding window, filtered with KZA filter to find the peaks and the timing of entropy changes determined. We found an earlier rise in entropy in glaucoma patients showing that this may have potential as new technique for glaucoma diagnosis.