Eye Movement
Conditions
Brief summary
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.
Detailed description
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
Interventions
OTHERNeuraLight
NeuraLight is an investigational software-based platform used for measuring eye movements in response to visual stimuli and captured using a simple webcam
Sponsors
NeuraLight
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Inclusion criteria
* Men and women ages between 18 and 90 years old * Normal or corrected vision * Ability to follow instructions * Willing and able to sign an informed consent form
Exclusion criteria
* Inability to sit for 20 minutes on a chair in a calm manner * Personal or 1st degree relative history of epilepsy * Additional neurological diseases * Drug or alcohol abuse
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Efficacy of data capture | 36 months | Capturing \>50 different oculometric measures in \>95% of a cohort of up to 2000 subjects |
| Validation of data capture | 36 months | Relative root mean square error (RMSE) of NeuraLight's extracted oculometric measures compared with retrieved measurements from a validated eye tracking system \<0.1 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Optimization of data capture | 36 months | 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 |
Countries
United States
Contacts
Primary ContactEitan Raveh, PhD
Outcome results
None listed