Detecting Absence Seizures Using Eye Tracking

Rachel Kuperman150 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

150

Conditions

Epilepsy, Generalized Absence Epilepsy Absence Seizures Seizures Seizure Disorder

Interventions

Eye movement analysisDIAGNOSTIC_TEST

Eye movements will be analyzed to identify if seizures are present and compared to the EEG read

Eligibility

Sex: ALLMin age: 4 YearsMax age: 100 Years

Medical Language ↔ Plain English

Inclusion Criteria: 1. Provision of signed and dated informed consent form- per local IRB 2. Stated willingness to comply with all study procedures including the clicker test and availability for the duration of the study 3. Male or female, aged 4-100 4. 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 5. Scheduled for clinical EEG observation Exclusion Criteria: 1. Intolerant of wearing or unable to wear the eyeglasses 2. Autism or other developmental disorder that the PI thinks will interfere with data collection 3. History of aggression that the PI thinks will interfere with data collection 4. History of not tolerating EEG that the PI thinks will interfere with data collection 5. Unable to give consent (for individuals ≥ 18 years old) unless they have an adult with power of attorney to consent

Locations (5)

Children's Hospital Orange County

Orange, California, United States

Rady Children's Hospital, San Diego

San Diego, California, United States

University of California, San Francisco

San Francisco, California, United States

Wake Forest Baptist Health

Winston-Salem, North Carolina, United States

Outcomes

Primary Outcomes

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

Data from ClinicalTrials.gov

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