Literature DB >> 34108781

Testing a Popular Smartphone Application for Colour Vision Assessment in Healthy Volunteer Subjects.

Michael J Fliotsos1, Jiawei Zhao1, Tejus Pradeep1, Mehrnaz Ighani2, Allen O Eghrari1.   

Abstract

We aimed to compare the Ishihara pseudoisochromatic colour vision test with a colour vision test from a popular smartphone application (EyeHandBook [EHB]) using digital image processing to simulate colour vision deficiencies. Three digital versions of the Ishihara and EHB slides were created: full colour; 32 bit- greyscale (removing all colour information); and blue channel (to simulate red-green colour vision deficiencies). Twenty healthy volunteers were shown each colour-edited plate. The answers they reported were compared with what would be expected for that colour-simulation scenario based on the answer key provided in the Ishihara booklet ("expected" answer). There were nine plates that had comparable patterns between the EHB and Ishihara test. We found no significant difference in the overall proportion of "expected" answers for the full colour (p = .35), 32 bit-greyscale (p = .39) and blue channel (p = .22) conditions. There were significant differences between the proportion of "expected" answers among six individual colour- edited plates (p < .05 for each). Colour vision assessment from the EHB is distinct from comparable Ishihara plates. Clinical scenarios that require serial assessment of colour vision may benefit from using the same modality consistently rather than exchanging between the two tests with the assumption of equivalence. Refinement of digital colour editing techniques beyond 32-bit greyscale and RGB channel splitting is necessary in order to accurately simulate colour vision deficiency.
© 2020 Taylor & Francis Group, LLC.

Entities:  

Keywords:  Colour vision testing; Ishihara; mHealth; mobile applications; smartphone applications

Year:  2020        PMID: 34108781      PMCID: PMC8158049          DOI: 10.1080/01658107.2020.1817947

Source DB:  PubMed          Journal:  Neuroophthalmology        ISSN: 0165-8107


  6 in total

1.  Consistency of color representation in smart phones.

Authors:  Stephen J Dain; Benjamin Kwan; Leslie Wong
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2016-03       Impact factor: 2.129

2.  Colorimetric evaluation of iPhone apps for colour vision tests based on the Ishihara test.

Authors:  Stephen J Dain; Ali AlMerdef
Journal:  Clin Exp Optom       Date:  2016-05-05       Impact factor: 2.742

3.  A method for identifying color vision deficiency malingering.

Authors:  Andrew Pouw; Rustum Karanjia; Alfredo Sadun
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-12-21       Impact factor: 3.117

4.  Validity and Acceptance of Color Vision Testing on Smartphones.

Authors:  Omar K Ozgur; Trisha S Emborgo; Mark B Vieyra; Rebecca F Huselid; Rudrani Banik
Journal:  J Neuroophthalmol       Date:  2018-03       Impact factor: 3.042

5.  Effects of Contrast Sensitivity on Colour Vision Testing.

Authors:  Anvesh Annadanam; Jiawei Zhao; Jiangxia Wang; Allen O Eghrari
Journal:  Neuroophthalmology       Date:  2017-05-19

6.  Comparison of a Smartphone Application with Ishihara Pseudoisochromatic Plate for Testing Colour Vision.

Authors:  Jiawei Zhao; Michael Joseph Fliotsos; Mehrnaz Ighani; Allen O Eghrari
Journal:  Neuroophthalmology       Date:  2018-11-19
  6 in total

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