Detecting Absence Seizures Using Eye Tracking
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Epilepsy, Generalized
- Sponsor
- Rachel Kuperman
- Enrollment
- 150
- Locations
- 5
- Primary Endpoint
- Eysz algorithm to detect absence seizures
- Status
- Completed
- Last Updated
- 3 years ago
Overview
Brief Summary
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.
Detailed Description
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.
Investigators
Rachel Kuperman
Director, Clinical Research
Eysz, Inc.
Eligibility Criteria
Inclusion Criteria
- •Provision of signed and dated informed consent form- per local IRB
- •Stated willingness to comply with all study procedures including the clicker test and availability for the duration of the study
- •Male or female, aged 4-100
- •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
- •Scheduled for clinical EEG observation
Exclusion Criteria
- •Intolerant of wearing or unable to wear the eyeglasses
- •Autism or other developmental disorder that the PI thinks will interfere with data collection
- •History of aggression that the PI thinks will interfere with data collection
- •History of not tolerating EEG that the PI thinks will interfere with data collection
- •Unable to give consent (for individuals ≥ 18 years old) unless they have an adult with power of attorney to consent
Outcomes
Primary Outcomes
Eysz algorithm to detect absence seizures
Time Frame: 1 hour
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