Patent ID: 7325927
Filing Date: 2008-02-05
Classification: A61B,G02C

Abstract:
1. A method for classifying a patient's eye, comprising the steps of: a. obtaining normal eye wavefront aberration data from a representative sample of normal eyes; b. obtaining abnormal eye wavefront aberration data from a representative sample of a first class of abnormal eyes; c. fitting the normal and abnormal eye wavefront aberration data with a basis function to decompose the normal and abnormal eye wavefront aberration data into normal and abnormal eye mathematical components; d. examining the normal and abnormal eye mathematical components to develop mathematical optical filters capable of discriminating between normal and abnormal eyes, using statistical methods to define a probability distribution; e. obtaining wavefront aberration data from the patient's eye; f. fitting the patient's wavefront aberration data with a basis function to decompose the patient's wavefront aberration data into the patient's set of mathematical components; g. examining the patient's set of mathematical components using the mathematical optical filters to generate a patient filter value; and h. classifying the patient's eye by comparing the patient filter value with the probability distribution.