An observational study in Epilepsy, Generalized, Absence Epilepsy and Absence Seizures, sponsored by Rachel Kuperman. Completed at 5 sites in United States. Open to participants aged 4 Years to 100 Years. Per ClinicalTrials.gov, last updated 2022-07-05.
Sponsored by Rachel Kuperman · Observational
The goal of this study is to develop a comfortable system that uses a wearable eye-tracker similar to eyeglasses to assist people with epilepsy in counting and measuring the severity of seizures. Participants will wear an eye-tracker during a routine EEG.
Seizures can be difficult to detect outside of the hospital even with careful observation by a caregiver. EEG is the best method that we have to detect seizures- but it is uncomfortable for long term use outside of the hospital. The goal of this study is to develop a comfortable system that uses a wearable eye-tracker similar to eyeglasses to assist people with epilepsy in counting and measuring the severity of seizures. People participating in this study will have a routine EEG performed while an eye tracker measures eye movements. After the EEG is complete the researchers will compare the eye movements to the EEG to develop a software program that can detect seizures from eye movements.
Children or adults with absence seizures.
Experience known typical absence seizures as defined by the ILAE 2017 classification or referred to EEG lab for staring spell or concern for absence seizure
a. This will allow for inclusion of children and adults across the entire spectrum of disease states including new diagnosis (medication naive), medication responsive and non-medication responsive
Exclusion Criteria:
Participants with absence seizures will have their eye movements compared to the EEG recording.
Diagnostic Test: Eye movement analysis
Eye movements will be analyzed to identify if seizures are present and compared to the EEG read
Eysz algorithm to detect absence seizures
EEG is burdensome and limited. The current accepted method of counting seizures is observation which fails to identify \> 50% of seizures. The goal is to validate the Eysz absence seizure detection algorithm and show significant improvement over current standard of care
Time frame: 1 hour
Plan to share: No
No publications or documents are linked to this record.
This study is completed, as verified in Jun 2022. You cannot join it, but the record below documents what was studied.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.