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Development and Validation of a Novel Eye-Tracking Software-based Platform to Extract Oculometric Measures

Recruiting
Conditions
Eye Movement
Registration Number
NCT05476523
Lead Sponsor
NeuraLight
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

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
2000
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Efficacy of data capture36 months

Capturing \>50 different oculometric measures in \>95% of a cohort of up to 2000 subjects

Validation of data capture36 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 Outcome Measures
NameTimeMethod
Optimization of data capture36 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

Trial Locations

Locations (1)

NeuraLight

🇺🇸

Wilmington, Delaware, United States

NeuraLight
🇺🇸Wilmington, Delaware, United States
Eitan Raveh, PhD
Contact

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