Assessing the utility of BioEye eye-tracking technology in managing neurological conditions

Not Applicable

• Conditions: Parkinsonism (i.e., Parkinson's and other types of Parkinsonism inlcuding Progressive Supranuclear Palsy, Multiple Systems Atrophy); Multiple Sclerosis; Dementia; Epilepsy; Neurological - Parkinson's disease; Neurological - Multiple sclerosis; Neurological - Dementias; Neurological - Epilepsy; Neurological - Other neurological disorders

• Registration Number: ACTRN12623001151628
• Lead Sponsor: BioEye Pty Ltd

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2023-11-07
• Last Update Posted: 20 November 2023

Recruitment & Eligibility

• Status: ot yet recruiting
• Sex: All
• Target Recruitment: 500

Inclusion Criteria

•Diagnosis of a medical condition directly impacting the integrity of the Central Nervous System (patients only)
•No evidence of a medical condition directly impacting the integrity of the Central Nervous System (healthy individuals only)
•Aged 18 years or over
•Eligible to receive Medicare

Exclusion Criteria

•Co-occurrence of more than one neurological condition (patients only)
•Any neurological condition (healthy individuals only)
•Unable to communicate adequately for whatever reason based on informal clinical judgment by the clinical staff member regarding the patient’s ability to follow instructions needed to perform the test and understand the consent process (patients only).
•Subjectively unable to see a 3mm object at a distance of 10 cm

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
atency measure for smooth pursuit eye movements [Latency measure derived from a bespoke machine learning algorithm that determines the spatial location of the eye over time. This measure is determined in real time, at the time of testing.];Accuracy measures for smooth pursuit eye movements [Accuracy measures derived from a bespoke machine learning algorithm that determines the spatial location of the eye over time. These measures are determined in real time, at the time of testing.];Constriction measures for the pupillary light reflex [Constriction measures derived from a bespoke machine learning algorithm that determines the spatial location of the pupil over time. These measures are determined in real time, at the time of testing.]

Secondary Outcome Measures

Name	Time	Method
Determination of whether data from neurologically healthy individuals can be dissociated from data from those with a neurological condition[Determinaton of statistically significant differences between individual scores and composite scores (if indentified). At end of all testing]