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Analysis of features of eye gaze useful in the diagnosis of Glaucoma for people living in rural and remote communities. A comparative study between people with early to mid-stage Glaucoma and age-matched healthy volunteers.

A comparative clinical study of features of eye gaze for the diagnosis of Glaucoma for people living in rural and remote communities. A comparative study between people with early to mid-stage Glaucoma and age-matched healthy volunteers.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12623000222640
Enrollment
26
Registered
2023-03-02
Start date
2024-09-07
Completion date
2025-09-08
Last updated
2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Glaucoma results in irreversible visual field loss so early detection and diagnosis of this disease is needed to avoid sight loss. Pupillary light responses and analysis of saccadic movements are new techniques for the detection of glaucoma. The purpose of this study is to identify robust features of pupillary light responses and saccades as demonstrated using a commercial eye tracking device that may be used to identify and assess for abnormalities of eye gaze. The ultimate aim of this work is to develop an automated diagnostic tool for the diagnosis and assessment of abnormalities for people living in rural and remote communities. Patients will be able to record eye gaze under specified conditions. The recordings will be analysed and eye gaze recordings and their analysis sent to a specialist physician. The aim of this study is to ascertain features of eye gaze that are most useful in identifying differences between glaucoma patients and healthy age-matched controls using a commercially available eye tracker. The hypothesis is that Glaucoma patients will exhibit significantly different eye gaze responses compared with healthy age-matched controls.

Interventions

Analysis of features of eye gaze for the diagnosis of Glaucoma. A commercial eye tracker (GP3-HD, Gazepoint Canada) will be used to collect data. The device is attached to a laptop screen and placed approximately 65 cm from the participant's eyes. Data are collected face-to-face. For glaucoma patients, data will be collected from a private ophthalmology clinic in Essendon, Victoria. For healthy controls, data will be collected at RMIT University or in a community setting in Rye, Victoria. Partic

Analysis of features of eye gaze for the diagnosis of Glaucoma. A commercial eye tracker (GP3-HD, Gazepoint Canada) will be used to collect data. The device is attached to a laptop screen and placed approximately 65 cm from the participant's eyes. Data are collected face-to-face. For glaucoma patients, data will be collected from a private ophthalmology clinic in Essendon, Victoria. For healthy controls, data will be collected at RMIT University or in a community setting in Rye, Victoria. Participants will be requested to look at a red filled circle (about 1 cm diameter) centred in the middle of the computer screen. The pupillary light reflex (PLR) is stimulated using different background colours. Participants will first look at the red filled circle with a black background for 20 seconds and then with a white background colour for a further 20 seconds. Participants will sit comfortably in front of the computer screen in an office room with ambient light. The second experiment will collect data using the same commercial eye tracker but for this experiment the experiment measures saccadic eye movements. Here the red filled circle moves horizontally and randomly from one edge of the screen to the other. Participants are asked to follow the red filled circle with their eyes only (no head movement). The duration of this second experiment is approximately 2 minutes. The total time commitment for participants is approximately 15 minutes. All experiments are conducted by the researchers from the School of Engineering, RMIT University.

Sponsors

RMIT University
Lead SponsorUniversity

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1.People diagnosed with diagnosed Glaucoma. 2.Age matched healthy controls

Exclusion criteria

Glaucoma - no other neuro-optic disease or neurodegenerative disease Healthy age-matched controls - no diagnosed neuro-optic disease

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026