A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli

Description

Nelli is a video-based non-EEG physiological seizure monitoring system. This study is a blinded comparison of Nelli's identified events to gold-standard video EEG review in at-rest pediatric subjects with suspected motor seizures.

Conditions

Epilepsy

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Study Overview

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Study Details

Study overview

Nelli is a video-based non-EEG physiological seizure monitoring system. This study is a blinded comparison of Nelli's identified events to gold-standard video EEG review in at-rest pediatric subjects with suspected motor seizures.

A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli

A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli

Condition
Epilepsy
Intervention / Treatment

-

Contacts and Locations

Memphis

The University of Tennessee Health Science Center, Memphis, Tennessee, United States, 38163

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Subject shall sign informed consent.
  • * Subject is between 6 and 21 years.
  • * Subjects shall be undergoing video-EEG monitoring for routine clinical purposes.
  • * Subjects shall have a suspected history of motor seizures.
  • * Subject shall be able to understand and sign written informed consent or have a legally authorized representative (LAR) who can do so, prior to the performance of any study assessments.
  • * None identified.

Ages Eligible for Study

6 Years to 21 Years

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Neuro Event Labs Inc.,

James Wheless, MD, PRINCIPAL_INVESTIGATOR, The University of Tennessee Health Science Center

Study Record Dates

2025-03