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Data on eye movements in people with glaucoma and peers with normal vision

Eye movements of glaucoma patients have been shown to differ from age-similar control groups when performing everyday tasks, such as reading (Burton et al., 2012; Smith et al., 2014) [1], [2], visual search (Smith et al., 2012) [3], face recognition (Glen et al., 2013) [4], driving, and viewing stat...

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Detalles Bibliográficos
Autores principales: Asfaw, Daniel S., Jones, Pete R., Smith, Nicholas D., Crabb, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005790/
https://www.ncbi.nlm.nih.gov/pubmed/29922707
http://dx.doi.org/10.1016/j.dib.2018.05.076
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author Asfaw, Daniel S.
Jones, Pete R.
Smith, Nicholas D.
Crabb, David P.
author_facet Asfaw, Daniel S.
Jones, Pete R.
Smith, Nicholas D.
Crabb, David P.
author_sort Asfaw, Daniel S.
collection PubMed
description Eye movements of glaucoma patients have been shown to differ from age-similar control groups when performing everyday tasks, such as reading (Burton et al., 2012; Smith et al., 2014) [1], [2], visual search (Smith et al., 2012) [3], face recognition (Glen et al., 2013) [4], driving, and viewing static images (Smith et al., 2012) [5]. Described here is the dataset from a recent publication in which we compared the eye-movements of 44 glaucoma patients and 32 age-similar controls, while they watched a series of short video clips taken from television programs (Crabb et al., 2018) [6]. Gaze was recorded at 1000 Hz using a remote eye-tracker. We also provide demographic information and results from a clinical examination of vision for each participant.
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spelling pubmed-60057902018-06-19 Data on eye movements in people with glaucoma and peers with normal vision Asfaw, Daniel S. Jones, Pete R. Smith, Nicholas D. Crabb, David P. Data Brief Medicine and Dentistry Eye movements of glaucoma patients have been shown to differ from age-similar control groups when performing everyday tasks, such as reading (Burton et al., 2012; Smith et al., 2014) [1], [2], visual search (Smith et al., 2012) [3], face recognition (Glen et al., 2013) [4], driving, and viewing static images (Smith et al., 2012) [5]. Described here is the dataset from a recent publication in which we compared the eye-movements of 44 glaucoma patients and 32 age-similar controls, while they watched a series of short video clips taken from television programs (Crabb et al., 2018) [6]. Gaze was recorded at 1000 Hz using a remote eye-tracker. We also provide demographic information and results from a clinical examination of vision for each participant. Elsevier 2018-05-18 /pmc/articles/PMC6005790/ /pubmed/29922707 http://dx.doi.org/10.1016/j.dib.2018.05.076 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Asfaw, Daniel S.
Jones, Pete R.
Smith, Nicholas D.
Crabb, David P.
Data on eye movements in people with glaucoma and peers with normal vision
title Data on eye movements in people with glaucoma and peers with normal vision
title_full Data on eye movements in people with glaucoma and peers with normal vision
title_fullStr Data on eye movements in people with glaucoma and peers with normal vision
title_full_unstemmed Data on eye movements in people with glaucoma and peers with normal vision
title_short Data on eye movements in people with glaucoma and peers with normal vision
title_sort data on eye movements in people with glaucoma and peers with normal vision
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005790/
https://www.ncbi.nlm.nih.gov/pubmed/29922707
http://dx.doi.org/10.1016/j.dib.2018.05.076
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