A new machine learning system developed by a Carle Illinois College of Medicine student could unlock the vast amounts of untapped data found in a common neurological test. The team recently won ‘best paper’ honors at the 2021 IEEE Signal Processing in Medicine and Biology Symposium for their publication describing the new system to analyze and classify data from patient EEG tests for use by both clinicians treating patients and researchers seeking out new discoveries.
