Home Department: Computer Science
Mentor: John Huguenard, Neurology & Neurological Sciences

“Closed-Loop Model to Predict Epileptic Seizures using Machine Learning in Real Time”

Epilepsy is one of most common neurological disorders, affecting more than 65 million people worldwide. While most patients with epilepsy have their seizures controlled by medication or surgery, more than 30% continue to have spontaneous and debilitating seizures and would greatly benefit from a system to predict seizures with sufficient warning time. Christine’s research seeks to develop a closed-loop seizure prediction system using machine learning models and data from electroencephalograms, in order to accurately predict seizures in real time.