Development and Validation of a Novel Eye-Tracking Software-based Platform to Extract Oculometric Measures
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Eitan Raveh, PhD
- Phone Number: +972-58-6277947
- Email: eitan@neuralight.ai
Study Locations
-
-
Delaware
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Wilmington, Delaware, United States, 19801
- Recruiting
- NeuraLight
-
Contact:
- Eitan Raveh, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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 Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Healthy Data Collection
As a part of the study, a group of up to 2000 healthy subjects will undergo a NeuraLight session including oculometric measurements and eye-tracking recordings using a novel software-based platform and an eye-tracking system (approx.
15 minutes).
The oculometric evaluation will occur for every patient 1 time, and all subjects will be recruited over a period of 36 months.
All assessments will be performed during a clinic visit unless authorized to be conducted remotely
|
NeuraLight is an investigational software-based platform used for measuring eye movements in response to visual stimuli and captured using a simple webcam
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Efficacy of data capture
Time Frame: 36 months
|
Capturing >50 different oculometric measures in >95% of a cohort of up to 2000 subjects
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36 months
|
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Validation of data capture
Time Frame: 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
|
36 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Optimization of data capture
Time Frame: 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
|
36 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Eitan Raveh, PhD, NeuraLight
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- HDC/2022-3
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.