This is an observational prospective study in a cohort of healthy subjects who are enrolled using convenience and snowballing sampling. The aims of the study is to demonstrate the efficacy of using NeuraLight system to capture oculometric data from healthy participants and to validate the data capture of NeuraLight oculometric measurements as compared with a validated eye-tracker system in subjects who meet the inclusion criteria and who provide a signed Informed Consent.
The purpose of the trial is to demonstrate the efficacy of using NeuraLight system to capture oculometric data from healthy participants, and to validate the data capture of NeuraLight oculometric measurements as compared with a validated eye-tracker system. In addition, we also aim to collect oculometric data from healthy participants in order to optimize a regression model which can be used for future prediction of clinical endpoints in various neurological patients at different stages of disease
Study Type
OBSERVATIONAL
Enrollment
2,000
NeuraLight is an investigational software-based platform used for measuring eye movements in response to visual stimuli and captured using a simple webcam
NeuraLight
Wilmington, Delaware, United States
RECRUITINGEfficacy of data capture
Capturing \>50 different oculometric measures in \>95% of a cohort of up to 2000 subjects
Time frame: 36 months
Validation of data capture
Relative root mean square error (RMSE) of NeuraLight's extracted oculometric measures compared with retrieved measurements from a validated eye tracking system \<0.1
Time frame: 36 months
Optimization of data capture
Optimization of a feature selection model (Fisher's Linear Discriminant Analysis (LDA)) on NeuraLight oculometric measures used for a logistic regression model of clinical endpoints with a relative root mean square error (RMSE) of \<0.1
Time frame: 36 months
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