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

NCT05606575 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2026-02-13

No results posted yet for this study

Summary

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

Interventions

DEVICE

Nelli

Nelli is a non-EEG physiological signal-based seizure detection and quantification device that is indicated for use as an adjunct to seizure monitoring during periods of rest. The device utilizes automated analysis of audio and video (media) data collected via the personal recording unit (PRU) hardware accessory to identify epileptic and non-epileptic seizure events with a positive motor component.

Sponsors & Collaborators

  • Neuro Event Labs Inc.

    lead INDUSTRY

Principal Investigators

  • James Wheless, MD · The University of Tennessee Health Science Center

Eligibility

Min Age
6 Years
Max Age
21 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-01
Primary Completion
2025-12-31
Completion
2026-01-31
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05606575 on ClinicalTrials.gov