Automated estimation of implicit time and amplitude from the flicker electroretinogram

Abstract

The electroretinogram (ERG) has been shown to yield sensitive and specific information about the development of neovascularization in ischemic disorders such as diabetic retinopathy and central retinal vein occlusion. However, even though the test is quick, easy to perform, and carries few risks, the ERG is poorly utilized in clinical situations because of the extended training period necessary for test interpretation. We have developed an algorithm that estimates the phase and amplitude of a 30-Hz flicker ERG and that is relatively insensitive to many forms of interference in ERG recordings. These estimates can be directly compared to established criteria for the risk of proliferative retinal disease.