Detection of seizures using video and machine learning
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli
This study is testing a new video monitoring system to see if it can accurately detect seizures in children compared to standard methods.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 104 (estimated) |
| Ages | 6 Years to 21 Years |
| Sex | All |
| Sponsor | Neuro Event Labs Inc. Industry-sponsored |
| Locations | 1 site (Memphis, Tennessee) |
| Trial ID | NCT05606575 on ClinicalTrials.gov |
What this trial studies
This observational study evaluates the Nelli software, a video-based seizure monitoring system, by comparing its ability to detect seizures against the gold standard of video EEG review in pediatric patients suspected of having motor seizures. The study utilizes advanced machine learning and computer vision techniques to analyze audio and video recordings, aiming to provide objective data for clinicians in managing seizure events. Participants will undergo routine video-EEG monitoring, and the software's performance will be assessed based on its sensitivity and false discovery rate in identifying seizure events.
Who should consider this trial
Good fit: Ideal candidates are pediatric patients aged 6 to 21 years with a suspected history of motor seizures who are undergoing video-EEG monitoring.
Not a fit: Patients who do not have a suspected history of motor seizures or are outside the age range of 6 to 21 years may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of seizure detection, leading to better management and treatment of epilepsy in pediatric patients.
How similar studies have performed: Other studies utilizing machine learning for seizure detection have shown promise, indicating that this approach may lead to significant advancements in the field.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion 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. Exclusion Criteria: * None identified.
Where this trial is running
Memphis, Tennessee
- The University of Tennessee Health Science Center — Memphis, Tennessee, United States (Recruiting)
Study contacts
- Principal investigator: James Wheless, MD — The University of Tennessee Health Science Center
- Study coordinator: US Agent
- Email: contact@neuroeventlabs.com
- Phone: +1 (210) 708-0667
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.