FURI | Fall 2019

Epileptic Seizure Detection and Prediction

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Epilepsy is the third most common neurological disorder in the United States. Despite continuous research efforts, 30% of those with epilepsy have uncontrolled seizures, and its unpredictability can become disabling. This project will analyze EEG data to detect, and ultimately predict the oncoming of epileptic seizures utilizing machine learning tools and algorithms. This project will set the framework for combining current research efforts to evaluate if any improvement can be obtained.

Student researcher

Alexandra Dent

Computer science

Hometown: Albany, Georgia, United States

Graduation date: Spring 2020

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