Detecting Epiletic Seizures using Artificial Intelligence

Investigators in the ICICS Biomedical Imaging and Artificial Intelligence (BMIAI) research cluster have developed a technique to account for the variability in EEG signals of people with epilepsy, for automatic detection of seizures that might not otherwise be apparent. The team, led by electrical and computer engineering professors Rabab Ward and Jane Wang, is based on  a new machine learning model (a form of articifial intelligence) developed by the researchers.