Automatic seizure detection using computer vision and machine learning
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)
This study is testing if a new software called Nelli can accurately detect nighttime seizures in adults by using video and audio recordings.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 50 (estimated) |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Sponsor | Neuro Event Labs Inc. Industry-sponsored |
| Locations | 1 site (Tampa, Florida) |
| Trial ID | NCT06705439 on ClinicalTrials.gov |
What this trial studies
This observational study aims to evaluate the effectiveness of the Nelli software in detecting seizure events in adults suspected of having nighttime seizures. Participants will undergo video-electroencephalography (vEEG) monitoring while Nelli continuously records audio and video to identify seizure events. The study will compare the accuracy of Nelli's seizure detection against the clinical gold standard, which involves review by epileptologists. The primary goal is to demonstrate that Nelli can identify seizures with a sensitivity greater than 70%.
Who should consider this trial
Good fit: Ideal candidates are adults undergoing video-EEG monitoring for suspected seizures.
Not a fit: Patients who do not have suspected seizures or are not undergoing video-EEG monitoring may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate and timely detection of seizures, improving patient management and outcomes.
How similar studies have performed: While the use of machine learning for seizure detection is an emerging field, this specific approach with Nelli is novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * All patients undergoing video-EEG monitoring for clinical purposes who are suspected of having seizures. Exclusion Criteria: -
Where this trial is running
Tampa, Florida
- Tampa General Hospital — Tampa, Florida, United States (Recruiting)
Study contacts
- Principal investigator: Selim Benbadis, MD — University of South Florida
- 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.