Oculomotor Reflexes as a Test of Visual Dysfunctions in Cognitively Impaired Observers

Abstract

We significantly improved the battery of tests designed to diagnose various visual dysfunctions. All hardware and software components of data acquisition and analysis pipeline are in place now allowing data collection and analysis in real-time regime. The visual stimulation and data collection units were tested on 25 naive observers with normal vision and 2 observers with possible visual dysfunctions. We used the collected data to make a pilot comparison of oculomotor responses between normal subjects and subjects with visual dysfunctions. The results indicated that the adopted paradigm could be used for an automated detection of visual dysfunctions. This mostly completes the second phase of the project and allows us to start the last phase, which mainly focuses on the two goals: testing a large number of normal subjects to establish the distribution of responses for people with normal (reference) visual functions, and testing subjects with visual/cognitive dysfunctions to validate the proposed approach.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA568043

Entities

People

  • Yury Petrov

Organizations

  • Northeastern University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Brain Injuries
  • Computers
  • Data Acquisition
  • Data Analysis
  • Detection
  • Dysfunction
  • Electronics
  • Eye
  • Eye Movements
  • Gantt Charts
  • Graphical User Interface
  • Health Services
  • Human-Machine Interaction
  • Images
  • Observers
  • Software Development

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