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Simplified automatic method for measuring the visual field using the perimeter ZERK 1.

Robert Koprowski1, Paweł Kasprowski2, Marek Rzendkowski3

  • 1Department of Biomedical Computer Systems, Faculty of Computer Science and Materials Science, Institute of Computer Science, University of Silesia, ul. Będzińska 39, 41-200, Sosnowiec, Poland. robert.koprowski@us.edu.pl.

Biomedical Engineering Online
|July 27, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces the ZERK 1, an automated perimeter for visual field testing in children and adults. Its novel design allows for fully automatic measurements, overcoming limitations of current devices and enabling mobile use.

Keywords:
Image processingMeasurement automationOphthalmologyPerimetrySegmentation

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Area of Science:

  • Ophthalmology
  • Medical Devices
  • Visual Science

Background:

  • Current perimeters have limitations in pediatric visual field testing and lack full automation.
  • Existing perimeters require patient interaction via a button press to indicate stimulus detection.

Purpose of the Study:

  • To introduce a novel automated, computerized perimeter (ZERK 1) for comprehensive visual field testing.
  • To overcome the limitations of existing perimeters, particularly for children and automated measurements.

Main Methods:

  • Development of the ZERK 1 perimeter with proprietary software for automated visual field testing.
  • Testing on a head phantom, with plans for clinical trials and comparative studies.

Main Results:

  • The ZERK 1 offers automatic visual field measurement with high accuracy (±1°) across a large range (870mm span, 525mm depth).
  • Features include an open canopy, eye-tracking cameras, automatic fixation control, and adjustable light stimuli.
  • Measurements can be performed in a ~1-minute default mode or a ~10-minute accurate mode.

Conclusions:

  • The ZERK 1 represents a new approach to perimeter design, utilizing automatic eye movement tracking.
  • Its unique construction and software facilitate mobile application for examining children and bedridden patients.