GLAUCOMA TESTING USING NON-LINEAR SYSTEMS IDENTIFICATION TECHNIQUES

Patent №

US 5,539,482

Granted

1996-07-23

Filed 1993

Owner

AUSTRALIAN NATIONAL UNIVERSITY, THE

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08025423

A diagnostic test for glaucoma, which can detect the early stages of this disease, uses a pattern electroretinogram of a subject to assess any reduction of the density of M.sub.y ganglion cells in a part of the subject's retina. The visual field of the eye of the subject is divided into a number of zones, and a respective visual stimulus signal is applied to each zone. The visual stimulus signals are generated in accordance with data obtained from determinations of the critical spatial frequency (Nyquist frequency) of persons with normal vision, obtained from observations of the "aliasing" phenomenon. Typical visual stimulus signals are grating patterns, with the contrast of the signal applied to each zone modulated with a different temporal frequency in the range of from 10 Hz to 45 Hz. Any differences between the electroretinogram response component for an individual zone and the expected response component for that zone indicates a change in the M.sub.y ganglion cell function in that zone, attributable to the effect of glaucoma.

AI hardwareA61B 5/024A61B 5/398

AI classification

AI hardware0.57
Evolutionary computation0.01
Speech0.00
Vision0.00
Machine learning0.00
Natural language0.00
Knowledge representation0.00
Planning0.00

Ownership

AUSTRALIAN NATIONAL UNIVERSITY, THE

assignment · 65100389

Assignors

JAMES, ANDREW CHARLES

On an employer assignment, the assignors are typically the inventors.

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