Using Machine Learning to Predict Epileptic Seizures from EEG Data - MATLAB & Simulink

Sponsored by MathWorks, the National Institutes of Health (NINDS), the American Epilepsy Society, and the University of Melbourne, the competition attracted 478 teams and 646 competitors from around the world. The algorithms I developed in MATLAB scored highest among individual participants and third highest in the competition overall. The EEG data came from a long-term study conducted by the University of Melbourne. In this study, intracranial EEG recordings were collected from 15 epileptic patients via 16 surgically implanted electrodes sampled at 400 Hz for several months. In the original study, researchers were unable to reliably predict seizures for about 50% of the test subjects.