Epileptic seizures can currently be predicted with EEG tests conducted in hospitals or other medical settings, followed by predictive modeling, a process that relies on statistics.
The artificial intelligence technology developed at UL Lafayette relies on EEG tests and predictive modeling simultaneously, resulting in earlier and more accurate detection.
Dr. Magdy Bayoumi and Dr. Hisham Daoud, researchers in the University’s Department of Electrical and Computer Engineering, led a team who developed the system.
Bayoumi said the next step in the process is developing a way to bring the system to people who have epilepsy.
UL Lafayette researchers are developing a customized computer chip that could be placed inside a smartphone or wristwatch-like device and synchronized with sensors embedded in headgear similar to a swimmer’s cap. The chip would wirelessly predict epileptic seizures by monitoring brain seizures.
“Bringing this technology from a medical setting to everyday life would greatly improve quality of life for people who have epilepsy. There would be a medical benefit for them, and a significant psychological one as well,” he explained.