Date of Award


Degree Name

Master of Science


Electrical Engineering


Sergio D. Cabrera

Second Advisor

Rodrigo A. Romero


Seizure prediction is a decades-old research problem that has yet to reach any satisfying conclusions. Many studies have tackled the problem with varying results, but there has yet to be any major breakthroughs that define the direction of all future research. However, a promising, new predictor may have presented itself in recent years in the form of high frequency oscillations (HFOs). With the discovery of HFOs (80 - 800 Hz) as a biomarker for epilepsy, new interest has been placed in studying the high frequency content of EEGs to find a possible link between epilepsy and HFOs. In this paper, we attempt to strengthen the connection between seizure onset and HFOs by analyzing the prevalence of HFOs during several brain states. Using the Montreal Neurological Institute (MNI) detector for HFO detection, we compared the rates of HFOs immediately preceding seizure onset to rates found under normal brain conditions. Our results suggest a strong correlation between HFO rates and imminent seizure onset, indicating that HFOs would indeed be viable in seizure prediction methods.




Received from ProQuest

File Size

64 pages

File Format


Rights Holder

Bryan David Kern