University of Iowa Research Foundation

The University of Texas System

The State University of New York

Kestrel Corporation

Randy H Kardon

Robert Rennaker

Peter Soliz

Young H Kwon

Elliot Frohman

Daniel Tso

Embodiments of the present invention comprises apparatuses and methods of measuring levels of neurological impairment. Certain embodiments of the invention comprise a headset that emits light into the user's eyes and the system tracks the pupils' orientation, movement, contraction and dilation. In specific embodiments, the headset can run a battery of tests and calculate a score indicating the user's level of neurological impairment.

System for traumatic brain injury detection using oculomotor tests

An Optical Imaging Device of Retinal Function has been developed to detect changes in reflectance of near infrared light from the retina of human subjects in response to visual activation of the retina by a pattern stimulus. The measured changes in reflectance correspond in time to the onset and offset of the visual stimulus in the portion of the retina being stimulated. Any changes in reflectance can be measured by interrogating the retina with a light source. The light source may be presented to the retina via the cornea and pupil or through other tissues in and around the eye. Different wavelengths of interrogating light may be used to interrogate various layers of the retina. Additionally, various novel patterns and methods of stimulation have been developed for use with the imaging device and methods.

Device and method for optical imaging of retinal function

An automated system and method for determining pupillary threshold response is described. The system achieves the determination of pupillary threshold levels through the measurement of supra-threshold responses at varying light intensities, which measured values are processed by a non-linear regression routine to approximate threshold response. The system takes supra-threshold measurements by means of a computerized pupillometer which is linked to an automated perimeter. The measurements are sequentially taken at varied light intensities which are reiteratively selected in response to the comparison between responses that have been previously measured during the test and a pre-stored response curve of expected values. The measured values are then processed by a non-linear regression routine to indirectly generate an estimated threshold level. The system is fully automated, produces accurate and reliable results, and is not subject to the uncertainties which are attendant with the measurement of threshold levels by the taking of subjective measurements.

Automated system and method for determining pupillary threshold response

Growing community of inventors

Iowa City, IA, United States of America

Randy H Kardon