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Subjective Refraction Test Using a Smartphone for Vision Screening
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Mobile app Aston contrast sensitivity test.

Alec Kingsnorth1, Tom Drew1, Bikramjit Grewal1

  • 1Ophthalmic Research Group, Life and Health Sciences, Aston University, Birmingham, UK.

Clinical & Experimental Optometry
|June 14, 2016
PubMed
Summary
This summary is machine-generated.

The Aston contrast sensitivity mobile apps offer a valid and repeatable method for assessing vision across multiple spatial frequencies. These apps are more time-efficient than traditional charts, improving visual function assessment.

Keywords:
CSV-1000Pelli-Robson chartcontrast sensitivitymobile apprepeatabilityvalidity

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Area of Science:

  • Ophthalmology and Visual Science
  • Medical Technology
  • Digital Health

Background:

  • Clinical contrast sensitivity testing is limited in spatial frequencies and contrast levels.
  • Accurate visual function assessment requires comprehensive contrast sensitivity evaluation.
  • Traditional methods often fail to capture the full spectrum of visual performance.

Purpose of the Study:

  • To validate the accuracy and repeatability of the swept-frequency Aston contrast sensitivity mobile applications (near and distance).
  • To compare the performance of the mobile apps against traditional clinical charts (CSV-1000 and Pelli-Robson).
  • To assess the impact of visual degradation on contrast sensitivity measurements using both app and chart-based methods.

Main Methods:

  • Twenty subjects with full refractive correction underwent contrast sensitivity testing.
  • Testing included the Aston near app, distance app, CSV-1000, and Pelli-Robson charts.
  • Vision was degraded using Bangerter foils (0.8 and 0.2), with repeated measures for the 0.8 foil.

Main Results:

  • The Aston mobile apps demonstrated higher contrast sensitivity compared to printed tests.
  • All tested methods showed reduced contrast sensitivity with visual degradation and increased spatial frequency.
  • The mobile apps were more repeatable and faster than the CSV-1000, despite Pelli-Robson having the lowest repeatability coefficient.

Conclusions:

  • The Aston near and distance mobile applications provide a valid, repeatable, and time-efficient approach to contrast sensitivity assessment.
  • These apps effectively measure contrast sensitivity across multiple spatial frequencies, overcoming limitations of traditional charts.
  • The mobile apps represent a significant advancement in visual function testing technology.