Abstract
Contrast sensitivity is a key visual ability for everyday tasks, as well as a potential indicator of important optical and neurological diseases. Current clinical standards, based on visual discrimination performance on printed charts, present problems that could be bypassed using electronic devices. This work describes the development of new tests for contrast sensitivity, based on the detection of a moving target on a computer screen and in virtual reality headset. It presents preliminary evaluation of these innovations by comparison of their performance, using healthy adults with normal vision and by artificially altering their contrast sensitivity. The results demonstrate consistent correlation between all test modalities explored.
Original language | English |
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Title of host publication | 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
Publisher | IEEE |
Pages | 6054-6057 |
Number of pages | 4 |
ISBN (Electronic) | 9781728119908 |
ISBN (Print) | 9781728119915 |
DOIs | |
Publication status | Published - 27 Aug 2020 |
Event | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society: “Enabling Innovative Technologies for Global Healthcare” - EMBS Virtual Academy, Montreal, Canada Duration: 20 Jul 2020 → 24 Jul 2020 https://embc.embs.org/2020/ (EMBC 2020 conference information) |
Publication series
Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Publisher | IEEE |
ISSN (Print) | 2375-7477 |
ISSN (Electronic) | 2694-0604 |
Conference
Conference | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society |
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Abbreviated title | EMBC 2020 |
Country/Territory | Canada |
City | Montreal |
Period | 20/07/20 → 24/07/20 |
Internet address |
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ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics