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

CompletedOBSERVATIONAL
Enrollment

233

Participants

Timeline

Start Date

January 9, 2020

Primary Completion Date

November 27, 2022

Study Completion Date

November 27, 2022

Conditions
Epilepsy
Interventions
DEVICE

Nelli

Nelli detects and registers activity that is indicative of seizure events. Nelli captures, stores, and processes video and audio recordings from each patient. Biomarker data is collected during periods of rest for the length of an examination period, which may span several days or months (when used inside and outside of a hospital setting, respectively), as prescribed by a treating physician.

Trial Locations (1)

19107

Thomas Jefferson University, Philadelphia

All Listed Sponsors
lead

Neuro Event Labs Inc.

INDUSTRY

NCT04738552 - A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning | Biotech Hunter | Biotech Hunter