AI-Powered camera spots seizures without wires
NCT ID NCT05606575
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a system called Nelli that uses cameras and artificial intelligence to detect seizures in children without needing the usual brain-wave sensors. The system was compared to standard video-EEG monitoring in 150 children aged 6 to 21 who were already being monitored for suspected motor seizures. The goal was to see if Nelli could correctly identify seizures at least 70% of the time.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for EPILEPSY are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
The University of Tennessee Health Science Center
Memphis, Tennessee, 38163, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can MRI reveal the Brain's response to deep brain stimulation?
- Can community hospitals in zambia master severe disease care?
- Can mindfulness rewire the mind to lift depression in epilepsy?
- A break from seizure pills: could less medication mean better living?
- Can invisible electric fields quiet the Brain's seizure signals?
- Can a new drug tame severe childhood epilepsy?